{"id":58923,"date":"2026-05-01T08:59:18","date_gmt":"2026-05-01T08:59:18","guid":{"rendered":"https:\/\/www.eccentrix.ca\/?p=58923"},"modified":"2026-06-01T17:20:50","modified_gmt":"2026-06-01T17:20:50","slug":"microsoft-fabric-data-certifications","status":"publish","type":"post","link":"https:\/\/www.eccentrix.ca\/en\/eccentrix-corner\/microsoft-fabric-data-certifications\/","title":{"rendered":"Which certification should you choose between DP-600, DP-700, DP-750 and DP-800 (Microsoft Fabric &#038; Data)?"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"58923\" class=\"elementor elementor-58923 elementor-58895\" data-elementor-post-type=\"post\">\n\t\t\t\t<div class=\"elementor-element elementor-element-1a96984f e-flex e-con-boxed e-con e-parent\" data-id=\"1a96984f\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-58bac4a elementor-widget elementor-widget-heading\" data-id=\"58bac4a\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Guide introduction<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-4e9eab47 elementor-widget elementor-widget-text-editor\" data-id=\"4e9eab47\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Data certifications evolve fast and that\u2019s exactly what makes the choice difficult. Microsoft Fabric is accelerating the convergence between BI, data engineering, and governance. At the same time, SQL + AI is becoming a real differentiator for teams delivering modern data applications. And for some organizations, Databricks remains an essential standard for large-scale Spark workloads.<\/p><p>This guide is designed for one thing: <strong>helping you choose the right certification (and the right course) based on your role, your goals, and your technical context<\/strong>, while giving you the concrete arguments that make the decision feel obvious.<\/p><p><strong>Editor\u2019s note (continuity)<\/strong><br \/>This guide extends our dedicated <strong>DP-600 vs DP-700<\/strong> comparison (Microsoft Fabric). If you want the core differences between those two certifications first, read our <a href=\"https:\/\/www.eccentrix.ca\/en\/eccentrix-corner\/microsoft-fabric-certifications-dp-700-vs-dp-600-choosing-your-data-career-path\/\" target=\"_blank\" rel=\"noopener\">Microsoft Fabric Certifications: DP-700 vs DP-600 \u2013 Choosing Your Data Career Path<\/a> publication.<\/p><p>In this article, we go further by adding <strong>two closely related certifications<\/strong> that are often evaluated in the same roadmap (DP-800 and DP-750), so you can make a complete decision based on your role and your stack.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-bc4d7e8 elementor-widget elementor-widget-heading\" data-id=\"bc4d7e8\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">What you\u2019ll learn in this guide<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-2278df5 elementor-widget elementor-widget-text-editor\" data-id=\"2278df5\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<ul><li>The real difference between\u00a0<strong>DP-600 (Analytics Engineer)<\/strong>\u00a0and\u00a0<strong>DP-700 (Data Engineer)<\/strong>\u00a0in Fabric<\/li><li>When to choose\u00a0<strong>DP-800 (SQL + AI Developer)<\/strong>\u00a0instead of a Fabric track<\/li><li>When\u00a0<strong>Databricks (DP-750)<\/strong>\u00a0is the best choice (even if you\u2019re considering Fabric)<\/li><li>A simple decision framework:\u00a0<strong>\u201cif you are X \/ if your organization is Y, choose Z\u201d<\/strong><\/li><li>The prerequisites, benefits, expected outcomes, and \u201cproof points\u201d to highlight to convince (yourself, your manager, your team)<\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-59353c0 elementor-widget elementor-widget-heading\" data-id=\"59353c0\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">The 60-second choice (quick decision)<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-e978d44 elementor-widget elementor-widget-text-editor\" data-id=\"e978d44\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Choose:<\/p><ul><li><strong>DP-600<\/strong>\u00a0if you want to become an\u00a0<strong>Analytics Engineer<\/strong>\u00a0in Fabric: semantic model, BI, metrics, analytics governance, \u201cbusiness-ready\u201d experience.<\/li><li><strong>DP-700<\/strong>\u00a0if you want to become a\u00a0<strong>Data Engineer<\/strong>\u00a0in Fabric: ingestion, transformation, pipelines, lakehouse, orchestration, data reliability.<\/li><li><strong>DP-800<\/strong>\u00a0if your job looks like:\u00a0<strong>SQL + development + AI<\/strong> (data applications, business logic, integration, optimization, AI features around SQL).<\/li><li><strong>DP-750 (Databricks Data Engineer)<\/strong>\u00a0if your environment is\u00a0<strong>Spark \/ Databricks-first<\/strong>, or if you need deep, \u201cat-scale\u201d platform-oriented data engineering expertise.<\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-a5dd235 elementor-widget elementor-widget-heading\" data-id=\"a5dd235\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Why these certifications matter<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-28554e7 elementor-widget elementor-widget-text-editor\" data-id=\"28554e7\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><strong>1) Microsoft Fabric reduces \u201ctime-to-value\u201d<\/strong><\/p>\n<p>Fabric aims to reduce friction between:<\/p>\n<ul>\n<li>data ingestion,<\/li>\n<li>transformation,<\/li>\n<li>modeling,<\/li>\n<li>analytics,<\/li>\n<li>governance,<\/li>\n<li>delivery.<\/li>\n<\/ul>\n<p>Result: teams can deliver faster, with fewer scattered tools.<\/p>\n<p><b>2) Companies want \u201chybrid\u201d profiles<\/b><\/p>\n<p>Roles are converging:<\/p>\n<ul>\n<li>a Data Engineer must understand analytics usage,<\/li>\n<li>an Analytics Engineer must understand data constraints,<\/li>\n<li>a SQL developer must integrate AI and governance.<\/li>\n<\/ul>\n<p><b>3) Value is about delivering, not just \u201cknowing\u201d<\/b><\/p>\n<p>These tracks are convincing because they align with outcomes:<\/p>\n<ul>\n<li>better data quality,<\/li>\n<li>lower costs,<\/li>\n<li>stronger BI adoption,<\/li>\n<li>more robust pipelines,<\/li>\n<li>faster decisions.<\/li>\n<\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-3b980f5 elementor-widget elementor-widget-heading\" data-id=\"3b980f5\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">DP-600 - Microsoft Certified: Fabric Analytics Engineer Associate<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-d7e403f elementor-widget elementor-widget-text-editor\" data-id=\"d7e403f\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Who is it for?<\/p><ul><li>BI \/ Analytics Engineers, advanced Power BI profiles, \u201cdata + business\u201d roles<\/li><li>people responsible for metrics, the semantic model, and analytics consistency<\/li><li>teams that want to industrialize analytics in Fabric<\/li><\/ul><p>You\u2019ll like DP-600 if\u2026<\/p><ul><li>you want to turn data into decisions (not just tables)<\/li><li>you\u2019re often the one \u201creconciling\u201d numbers across departments<\/li><li>you want to master the Fabric analytics layer end-to-end<\/li><\/ul><p>Concrete outcomes (what changes at work)<\/p><ul><li>more reliable dashboards (fewer debates about \u201cwhich number is correct\u201d)<\/li><li>stronger metrics governance<\/li><li>higher BI adoption (because it\u2019s consistent, understandable, maintainable)<\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-9be5bb0 elementor-align-left elementor-widget elementor-widget-button\" data-id=\"9be5bb0\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm\" href=\"https:\/\/www.eccentrix.ca\/en\/courses\/microsoft\/azure\/microsoft-certified-fabric-analytics-engineer-associate-dp600\/\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t\t\t\t<span class=\"elementor-button-text\">Explore the DP-600 training<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-9ea72ee elementor-widget elementor-widget-heading\" data-id=\"9ea72ee\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">DP-700 - Microsoft Certified: Fabric Data Engineer Associate<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-4150c60 elementor-widget elementor-widget-text-editor\" data-id=\"4150c60\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Who is it for?<\/p><ul><li>Data Engineers: ingestion \/ transformation \/ orchestration profiles<\/li><li>teams building pipelines, lakehouse, data products<\/li><li>people responsible for data reliability, freshness, quality, and performance<\/li><\/ul><p>You\u2019ll like DP-700 if\u2026<\/p><ul><li>you like building robust data flows (not just \u201cmaking it work once\u201d)<\/li><li>you work with large volumes, multiple sources, and SLA constraints<\/li><li>you want to be the person who makes data usable and stable<\/li><\/ul><p>Concrete outcomes<\/p><ul><li>more reliable pipelines (fewer incidents, fewer \u201cdata breaks\u201d)<\/li><li>better observability of data flows<\/li><\/ul><p>stronger ability to scale and industrialize<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-1af39c5 elementor-align-left elementor-widget elementor-widget-button\" data-id=\"1af39c5\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm\" href=\"https:\/\/www.eccentrix.ca\/en\/courses\/microsoft\/azure\/microsoft-certified-fabric-data-engineer-associate-dp700\/\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t\t\t\t<span class=\"elementor-button-text\">Explore the DP-700 training<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-dcd436e elementor-widget elementor-widget-heading\" data-id=\"dcd436e\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">DP-800 - SQL + AI Developer (Associate)<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-b35b6a0 elementor-widget elementor-widget-text-editor\" data-id=\"b35b6a0\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Who is it for?<\/p><ul><li>SQL developers, data app developers, \u201cdatabase + application logic\u201d profiles<\/li><li>people integrating AI into data applications (or preparing to do so)<\/li><li>teams modernizing SQL workloads with AI capabilities<\/li><\/ul><p>When DP-800 is the best choice<\/p><ul><li>your day-to-day is development-focused, not only data pipelines<\/li><li>you work on SQL performance, design, integration, and security<\/li><li>you want a highly in-demand \u201cSQL + AI\u201d differentiator<\/li><\/ul><p>Concrete outcomes<\/p><ul><li>stronger ability to deliver modern data applications<\/li><li>better understanding of AI patterns applied to SQL workloads<\/li><li>a more versatile profile for data\/AI projects<\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-5d0ead4 elementor-align-left elementor-widget elementor-widget-button\" data-id=\"5d0ead4\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm\" href=\"https:\/\/www.eccentrix.ca\/en\/courses\/microsoft\/azure\/ms-sql-ai-developer-associate-dp800\/\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t\t\t\t<span class=\"elementor-button-text\">Explore the DP-800 training<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-a2d183c elementor-widget elementor-widget-heading\" data-id=\"a2d183c\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">DP-750 - Azure Databricks Data Engineer (option \u201clakehouse engineering\u201d)<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-795c4bd elementor-widget elementor-widget-text-editor\" data-id=\"795c4bd\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><strong>Important (honest positioning):<\/strong>\u00a0DP-750 (Databricks) is not \u201cFabric.\u201d<\/p><p>It\u2019s the ideal option if:<\/p><ul><li>your organization is already Databricks-first,<\/li><li>you have heavy Spark workloads,<\/li><li>you want platform-oriented, at-scale data engineering expertise.<\/li><\/ul><p><strong>Why include it in this guide?<\/strong><\/p><p>Because in real life, many organizations compare Fabric and Databricks \u2014 or use both. The right choice depends on your stack and your direction.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-2492aca elementor-align-left elementor-widget elementor-widget-button\" data-id=\"2492aca\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm\" href=\"https:\/\/www.eccentrix.ca\/en\/courses\/microsoft\/azure\/ms-azure-databricks-data-engineer\/\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t\t\t\t<span class=\"elementor-button-text\">Explore the DP-750 training<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-b95d43a elementor-widget elementor-widget-heading\" data-id=\"b95d43a\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">How to choose (clear decision framework)<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-844c940 elementor-widget elementor-widget-text-editor\" data-id=\"844c940\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>If your goal is <strong>\u201cAnalytics &amp; BI at scale,\u201d<\/strong> choose <strong>DP-600<\/strong>.<br \/>You\u2019ll be credible on:<\/p><ul><li>semantic model,<\/li><li>metrics governance,<\/li><li>analytics experience,<\/li><li>business adoption.<\/li><\/ul><p>If your goal is <strong>\u201creliable, industrialized data engineering,\u201d<\/strong> choose <strong>DP-700<\/strong>.<br \/>You\u2019ll be credible on:<\/p><ul><li>ingestion, transformation,<\/li><li>orchestration,<\/li><li>lakehouse,<\/li><li>quality and performance.<\/li><\/ul><p>If your goal is <strong>\u201cbuilding modern SQL + AI solutions,\u201d<\/strong> choose <strong>DP-800<\/strong>.<br \/>You\u2019ll be credible on:<\/p><ul><li>SQL engineering,<\/li><li>application integration,<\/li><li>AI patterns around SQL,<\/li><li>optimization and robustness.<\/li><\/ul><p>If your goal is <strong>\u201cSpark \/ large-scale data engineering platform,\u201d<\/strong> choose <strong>DP-750 (Databricks)<\/strong>.<br \/>You\u2019ll be credible on:<\/p><ul><li>platform-oriented data engineering,<\/li><li>Spark workloads,<\/li><li>at-scale lakehouse patterns.<\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-ac2a5c4 elementor-widget elementor-widget-heading\" data-id=\"ac2a5c4\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Common mistakes (and how to avoid them)<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-a53757c elementor-widget elementor-widget-text-editor\" data-id=\"a53757c\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<ul><li>Choosing\u00a0<strong>DP-600<\/strong>\u00a0because \u201cit\u2019s more BI\u201d while your job is mainly pipelines. You\u2019ll be frustrated: pick\u00a0<strong>DP-700<\/strong>.<\/li><li>Choosing\u00a0<strong>DP-700<\/strong>\u00a0because \u201cdata engineering is more technical\u201d while your value is the analytics layer.\u00a0<strong>DP-600<\/strong>\u00a0is more aligned.<\/li><li>Ignoring\u00a0<strong>DP-800<\/strong> when you\u2019re a SQL\/dev profile. You miss a huge differentiator (SQL + AI).<\/li><li>Choosing Databricks by default without checking whether your organization is moving toward Fabric. Align with the real technology direction.<\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-f703c45 elementor-widget elementor-widget-heading\" data-id=\"f703c45\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Your next steps<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-e06f3a5 elementor-widget elementor-widget-text-editor\" data-id=\"e06f3a5\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<ol><li>Identify your dominant role today (BI\/Analytics, Data Engineering, SQL\/Dev, Databricks\/Spark).<\/li><li>Choose one primary track (DP-600 or DP-700 or DP-800 or DP-750).<\/li><li><a href=\"https:\/\/www.eccentrix.ca\/en\/contact\/\" target=\"_blank\" rel=\"noopener\">Contact us<\/a> for the corresponding course.<\/li><li>If you\u2019re hesitating, tell us your role and your context (stack, goals, level) and we\u2019ll provide a clear recommendation to support the right decision.<\/li><\/ol>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-3099cda elementor-widget elementor-widget-heading\" data-id=\"3099cda\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">FAQ<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-7a5c4f7 elementor-widget elementor-widget-accordion\" data-id=\"7a5c4f7\" data-element_type=\"widget\" data-widget_type=\"accordion.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-accordion\">\n\t\t\t\t\t\t\t<div class=\"elementor-accordion-item\">\n\t\t\t\t\t<h6 id=\"elementor-tab-title-1281\" class=\"elementor-tab-title\" data-tab=\"1\" role=\"button\" aria-controls=\"elementor-tab-content-1281\" aria-expanded=\"false\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-accordion-icon elementor-accordion-icon-left\" aria-hidden=\"true\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-accordion-icon-closed\"><svg class=\"e-font-icon-svg e-fas-plus\" viewBox=\"0 0 448 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M416 208H272V64c0-17.67-14.33-32-32-32h-32c-17.67 0-32 14.33-32 32v144H32c-17.67 0-32 14.33-32 32v32c0 17.67 14.33 32 32 32h144v144c0 17.67 14.33 32 32 32h32c17.67 0 32-14.33 32-32V304h144c17.67 0 32-14.33 32-32v-32c0-17.67-14.33-32-32-32z\"><\/path><\/svg><\/span>\n\t\t\t\t\t\t\t\t<span class=\"elementor-accordion-icon-opened\"><svg class=\"e-font-icon-svg e-fas-minus\" viewBox=\"0 0 448 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M416 208H32c-17.67 0-32 14.33-32 32v32c0 17.67 14.33 32 32 32h384c17.67 0 32-14.33 32-32v-32c0-17.67-14.33-32-32-32z\"><\/path><\/svg><\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t<a class=\"elementor-accordion-title\" tabindex=\"0\">DP-600 or DP-700: which is the most \u201cdecisive\u201d difference?<\/a>\n\t\t\t\t\t<\/h6>\n\t\t\t\t\t<div id=\"elementor-tab-content-1281\" class=\"elementor-tab-content elementor-clearfix\" data-tab=\"1\" role=\"region\" aria-labelledby=\"elementor-tab-title-1281\"><p>The key difference is the end goal.<\/p><ul><li>DP-600 = making data &#8220;business-ready&#8221; in Fabric (semantic model, metrics, analytical governance, BI experience).<\/li><li>DP-700 = making data &#8220;pipeline-ready&#8221; (ingestion, transformation, orchestration, lakehouse, reliability, performance).<\/li><\/ul><p>If your daily value is standardizing numbers and the analytical layer, choose DP-600. If your value is delivering robust and industrialized data flows, choose DP-700.<\/p><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<div class=\"elementor-accordion-item\">\n\t\t\t\t\t<h6 id=\"elementor-tab-title-1282\" class=\"elementor-tab-title\" data-tab=\"2\" role=\"button\" aria-controls=\"elementor-tab-content-1282\" aria-expanded=\"false\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-accordion-icon elementor-accordion-icon-left\" aria-hidden=\"true\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-accordion-icon-closed\"><svg class=\"e-font-icon-svg e-fas-plus\" viewBox=\"0 0 448 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M416 208H272V64c0-17.67-14.33-32-32-32h-32c-17.67 0-32 14.33-32 32v144H32c-17.67 0-32 14.33-32 32v32c0 17.67 14.33 32 32 32h144v144c0 17.67 14.33 32 32 32h32c17.67 0 32-14.33 32-32V304h144c17.67 0 32-14.33 32-32v-32c0-17.67-14.33-32-32-32z\"><\/path><\/svg><\/span>\n\t\t\t\t\t\t\t\t<span class=\"elementor-accordion-icon-opened\"><svg class=\"e-font-icon-svg e-fas-minus\" viewBox=\"0 0 448 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M416 208H32c-17.67 0-32 14.33-32 32v32c0 17.67 14.33 32 32 32h384c17.67 0 32-14.33 32-32v-32c0-17.67-14.33-32-32-32z\"><\/path><\/svg><\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t<a class=\"elementor-accordion-title\" tabindex=\"0\">Can I take the DP-600 exam if I am primarily a Data Engineer?<\/a>\n\t\t\t\t\t<\/h6>\n\t\t\t\t\t<div id=\"elementor-tab-content-1282\" class=\"elementor-tab-content elementor-clearfix\" data-tab=\"2\" role=\"region\" aria-labelledby=\"elementor-tab-title-1282\"><p>Yes, but only if your role truly includes the analytics layer (semantic model, metrics, BI consumption). Otherwise, you risk mastering the &#8220;output&#8221; (dashboards) without it being aligned with your job (pipelines, SLAs, quality).<\/p><p>In an ingestion\/transformation\/orchestration context, DP-700 is generally a more appropriate primary certification.<\/p><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<div class=\"elementor-accordion-item\">\n\t\t\t\t\t<h6 id=\"elementor-tab-title-1283\" class=\"elementor-tab-title\" data-tab=\"3\" role=\"button\" aria-controls=\"elementor-tab-content-1283\" aria-expanded=\"false\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-accordion-icon elementor-accordion-icon-left\" aria-hidden=\"true\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-accordion-icon-closed\"><svg class=\"e-font-icon-svg e-fas-plus\" viewBox=\"0 0 448 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M416 208H272V64c0-17.67-14.33-32-32-32h-32c-17.67 0-32 14.33-32 32v144H32c-17.67 0-32 14.33-32 32v32c0 17.67 14.33 32 32 32h144v144c0 17.67 14.33 32 32 32h32c17.67 0 32-14.33 32-32V304h144c17.67 0 32-14.33 32-32v-32c0-17.67-14.33-32-32-32z\"><\/path><\/svg><\/span>\n\t\t\t\t\t\t\t\t<span class=\"elementor-accordion-icon-opened\"><svg class=\"e-font-icon-svg e-fas-minus\" viewBox=\"0 0 448 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M416 208H32c-17.67 0-32 14.33-32 32v32c0 17.67 14.33 32 32 32h384c17.67 0 32-14.33 32-32v-32c0-17.67-14.33-32-32-32z\"><\/path><\/svg><\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t<a class=\"elementor-accordion-title\" tabindex=\"0\">Is DP-700 \u201cmore technical\u201d and therefore necessarily better for my career?<\/a>\n\t\t\t\t\t<\/h6>\n\t\t\t\t\t<div id=\"elementor-tab-content-1283\" class=\"elementor-tab-content elementor-clearfix\" data-tab=\"3\" role=\"region\" aria-labelledby=\"elementor-tab-title-1283\"><p>Not necessarily. \u201cMore technical\u201d doesn\u2019t necessarily mean \u201cmore profitable\u201d for you.<\/p><ul><li>If your company primarily suffers from unstable data, delays, incidents, and fragile pipelines, DP-700 offers an immediate ROI.<\/li><li>If your main pain point is inconsistent metrics, low BI adoption, and debates about the numbers, DP-600 creates more value.<\/li><\/ul><p>The best choice is the one that makes you indispensable for addressing your organization\u2019s number one problem.<\/p><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<div class=\"elementor-accordion-item\">\n\t\t\t\t\t<h6 id=\"elementor-tab-title-1284\" class=\"elementor-tab-title\" data-tab=\"4\" role=\"button\" aria-controls=\"elementor-tab-content-1284\" aria-expanded=\"false\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-accordion-icon elementor-accordion-icon-left\" aria-hidden=\"true\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-accordion-icon-closed\"><svg class=\"e-font-icon-svg e-fas-plus\" viewBox=\"0 0 448 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M416 208H272V64c0-17.67-14.33-32-32-32h-32c-17.67 0-32 14.33-32 32v144H32c-17.67 0-32 14.33-32 32v32c0 17.67 14.33 32 32 32h144v144c0 17.67 14.33 32 32 32h32c17.67 0 32-14.33 32-32V304h144c17.67 0 32-14.33 32-32v-32c0-17.67-14.33-32-32-32z\"><\/path><\/svg><\/span>\n\t\t\t\t\t\t\t\t<span class=\"elementor-accordion-icon-opened\"><svg class=\"e-font-icon-svg e-fas-minus\" viewBox=\"0 0 448 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M416 208H32c-17.67 0-32 14.33-32 32v32c0 17.67 14.33 32 32 32h384c17.67 0 32-14.33 32-32v-32c0-17.67-14.33-32-32-32z\"><\/path><\/svg><\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t<a class=\"elementor-accordion-title\" tabindex=\"0\">When is DP-800 a better choice than a Fabric course (DP-600\/DP-700)?<\/a>\n\t\t\t\t\t<\/h6>\n\t\t\t\t\t<div id=\"elementor-tab-content-1284\" class=\"elementor-tab-content elementor-clearfix\" data-tab=\"4\" role=\"region\" aria-labelledby=\"elementor-tab-title-1284\"><p>When your daily work involves SQL + development + integration, and not building Fabric pipelines.<\/p><p>The DP-800 is often the best choice if you design SQL databases, queries, security, and performance, develop data applications (business logic, integration), and need to integrate AI capabilities around SQL workloads.<\/p><p>This is a differentiating factor if you&#8217;re a data app developer rather than a data platform specialist.<\/p><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<div class=\"elementor-accordion-item\">\n\t\t\t\t\t<h6 id=\"elementor-tab-title-1285\" class=\"elementor-tab-title\" data-tab=\"5\" role=\"button\" aria-controls=\"elementor-tab-content-1285\" aria-expanded=\"false\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-accordion-icon elementor-accordion-icon-left\" aria-hidden=\"true\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-accordion-icon-closed\"><svg class=\"e-font-icon-svg e-fas-plus\" viewBox=\"0 0 448 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M416 208H272V64c0-17.67-14.33-32-32-32h-32c-17.67 0-32 14.33-32 32v144H32c-17.67 0-32 14.33-32 32v32c0 17.67 14.33 32 32 32h144v144c0 17.67 14.33 32 32 32h32c17.67 0 32-14.33 32-32V304h144c17.67 0 32-14.33 32-32v-32c0-17.67-14.33-32-32-32z\"><\/path><\/svg><\/span>\n\t\t\t\t\t\t\t\t<span class=\"elementor-accordion-icon-opened\"><svg class=\"e-font-icon-svg e-fas-minus\" viewBox=\"0 0 448 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M416 208H32c-17.67 0-32 14.33-32 32v32c0 17.67 14.33 32 32 32h384c17.67 0 32-14.33 32-32v-32c0-17.67-14.33-32-32-32z\"><\/path><\/svg><\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t<a class=\"elementor-accordion-title\" tabindex=\"0\">Is DP-750 (Databricks) still relevant even if my company is looking at Microsoft Fabric?<\/a>\n\t\t\t\t\t<\/h6>\n\t\t\t\t\t<div id=\"elementor-tab-content-1285\" class=\"elementor-tab-content elementor-clearfix\" data-tab=\"5\" role=\"region\" aria-labelledby=\"elementor-tab-title-1285\"><p>Yes, if your reality is Spark\/Databricks-first or data engineering workloads at scale.<\/p><p>DP-750 is relevant when Databricks is already an internal standard, you have large Spark pipelines, or you need to optimize a data platform at scale.<\/p><p>If your organization is truly migrating to Fabric (or wants to reduce its tooling), DP-600\/DP-700 may be a better fit.<\/p><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<div class=\"elementor-accordion-item\">\n\t\t\t\t\t<h6 id=\"elementor-tab-title-1286\" class=\"elementor-tab-title\" data-tab=\"6\" role=\"button\" aria-controls=\"elementor-tab-content-1286\" aria-expanded=\"false\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-accordion-icon elementor-accordion-icon-left\" aria-hidden=\"true\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-accordion-icon-closed\"><svg class=\"e-font-icon-svg e-fas-plus\" viewBox=\"0 0 448 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M416 208H272V64c0-17.67-14.33-32-32-32h-32c-17.67 0-32 14.33-32 32v144H32c-17.67 0-32 14.33-32 32v32c0 17.67 14.33 32 32 32h144v144c0 17.67 14.33 32 32 32h32c17.67 0 32-14.33 32-32V304h144c17.67 0 32-14.33 32-32v-32c0-17.67-14.33-32-32-32z\"><\/path><\/svg><\/span>\n\t\t\t\t\t\t\t\t<span class=\"elementor-accordion-icon-opened\"><svg class=\"e-font-icon-svg e-fas-minus\" viewBox=\"0 0 448 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M416 208H32c-17.67 0-32 14.33-32 32v32c0 17.67 14.33 32 32 32h384c17.67 0 32-14.33 32-32v-32c0-17.67-14.33-32-32-32z\"><\/path><\/svg><\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t<a class=\"elementor-accordion-title\" tabindex=\"0\">What \u201creal\u201d prerequisites do I need to have before choosing (beyond marketing)?<\/a>\n\t\t\t\t\t<\/h6>\n\t\t\t\t\t<div id=\"elementor-tab-content-1286\" class=\"elementor-tab-content elementor-clearfix\" data-tab=\"6\" role=\"region\" aria-labelledby=\"elementor-tab-title-1286\"><p>The right prerequisite isn&#8217;t &#8220;years of experience,&#8221; it&#8217;s the type of work you do:<\/p><ul><li>DP-600: Comfortable with analytical modeling, metrics, BI consumption, and analytics governance.<\/li><li>DP-700: Comfortable with ingestion\/transformation, pipelines, quality, performance, orchestration, and reliability.<\/li><li>DP-800: Strong in SQL, design, and application integration, and ready to add an AI layer.<\/li><li>DP-750: Platform-oriented data engineering logic and experience with Spark\/Databricks (or a clear desire to learn them).<\/li><\/ul><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<div class=\"elementor-accordion-item\">\n\t\t\t\t\t<h6 id=\"elementor-tab-title-1287\" class=\"elementor-tab-title\" data-tab=\"7\" role=\"button\" aria-controls=\"elementor-tab-content-1287\" aria-expanded=\"false\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-accordion-icon elementor-accordion-icon-left\" aria-hidden=\"true\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-accordion-icon-closed\"><svg class=\"e-font-icon-svg e-fas-plus\" viewBox=\"0 0 448 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M416 208H272V64c0-17.67-14.33-32-32-32h-32c-17.67 0-32 14.33-32 32v144H32c-17.67 0-32 14.33-32 32v32c0 17.67 14.33 32 32 32h144v144c0 17.67 14.33 32 32 32h32c17.67 0 32-14.33 32-32V304h144c17.67 0 32-14.33 32-32v-32c0-17.67-14.33-32-32-32z\"><\/path><\/svg><\/span>\n\t\t\t\t\t\t\t\t<span class=\"elementor-accordion-icon-opened\"><svg class=\"e-font-icon-svg e-fas-minus\" viewBox=\"0 0 448 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M416 208H32c-17.67 0-32 14.33-32 32v32c0 17.67 14.33 32 32 32h384c17.67 0 32-14.33 32-32v-32c0-17.67-14.33-32-32-32z\"><\/path><\/svg><\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t<a class=\"elementor-accordion-title\" tabindex=\"0\">If I want to be \u201chybrid\u201d, what path is the most logical without spreading myself too thin?<\/a>\n\t\t\t\t\t<\/h6>\n\t\t\t\t\t<div id=\"elementor-tab-content-1287\" class=\"elementor-tab-content elementor-clearfix\" data-tab=\"7\" role=\"region\" aria-labelledby=\"elementor-tab-title-1287\"><p>Choose a primary track, then a supplementary track based on your career path:<\/p><ul><li>Hybrid Data Engineer: DP-700 first, then DP-600 if you need to master the analytics layer and metrics.<\/li><li>Hybrid Analytics Engineer: DP-600 first, then DP-700 if you need to industrialize data ingestion\/pipelines.<\/li><li>Hybrid SQL\/Developer: DP-800 first, then DP-600\/DP-700 depending on whether you are moving towards BI or data engineering.<\/li><\/ul><p>The classic mistake is to try to do &#8220;everything&#8221; and become an expert in nothing.<\/p><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<div class=\"elementor-accordion-item\">\n\t\t\t\t\t<h6 id=\"elementor-tab-title-1288\" class=\"elementor-tab-title\" data-tab=\"8\" role=\"button\" aria-controls=\"elementor-tab-content-1288\" aria-expanded=\"false\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-accordion-icon elementor-accordion-icon-left\" aria-hidden=\"true\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-accordion-icon-closed\"><svg class=\"e-font-icon-svg e-fas-plus\" viewBox=\"0 0 448 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M416 208H272V64c0-17.67-14.33-32-32-32h-32c-17.67 0-32 14.33-32 32v144H32c-17.67 0-32 14.33-32 32v32c0 17.67 14.33 32 32 32h144v144c0 17.67 14.33 32 32 32h32c17.67 0 32-14.33 32-32V304h144c17.67 0 32-14.33 32-32v-32c0-17.67-14.33-32-32-32z\"><\/path><\/svg><\/span>\n\t\t\t\t\t\t\t\t<span class=\"elementor-accordion-icon-opened\"><svg class=\"e-font-icon-svg e-fas-minus\" viewBox=\"0 0 448 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M416 208H32c-17.67 0-32 14.33-32 32v32c0 17.67 14.33 32 32 32h384c17.67 0 32-14.33 32-32v-32c0-17.67-14.33-32-32-32z\"><\/path><\/svg><\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t<a class=\"elementor-accordion-title\" tabindex=\"0\">How can I justify the ROI of certification to my manager (simple argument)?<\/a>\n\t\t\t\t\t<\/h6>\n\t\t\t\t\t<div id=\"elementor-tab-content-1288\" class=\"elementor-tab-content elementor-clearfix\" data-tab=\"8\" role=\"region\" aria-labelledby=\"elementor-tab-title-1288\"><p>Frame ROI in terms of measurable results, not badges:<\/p><ul><li>DP-600: Consistent metrics, less debate about numbers, stronger BI adoption, improved analytics governance.<\/li><li>DP-700: More reliable pipelines, fewer incidents, better observability, SLA compliance, improved scalability.<\/li><li>DP-800: More robust data applications, optimized SQL, faster AI integration, workload modernization.<\/li><li>DP-750: Scale-based platform expertise, higher-performing Spark, industrialized data engineering on Databricks.<\/li><\/ul><p>Then, link these gains to a current problem (delays, incidents, inconsistencies, costs, time-to-value).<\/p><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>Guide introduction Data certifications evolve fast and that\u2019s exactly what makes the choice difficult. Microsoft Fabric is accelerating the convergence between BI, data engineering, and governance. At the same time, SQL + AI is becoming a real differentiator for teams delivering modern data applications. And for some organizations, Databricks remains an essential standard for large-scale [&hellip;]<\/p>\n","protected":false},"author":3,"featured_media":58898,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_jet_sm_ready_style":"","_jet_sm_style":"","_jet_sm_controls_values":"","_jet_sm_fonts_collection":"","_jet_sm_fonts_links":"","footnotes":""},"categories":[84],"tags":[159,97,104],"class_list":["post-58923","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-eccentrix-corner","tag-cloud","tag-certification","tag-microsoft-azure"],"_links":{"self":[{"href":"https:\/\/www.eccentrix.ca\/en\/wp-json\/wp\/v2\/posts\/58923","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.eccentrix.ca\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.eccentrix.ca\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.eccentrix.ca\/en\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/www.eccentrix.ca\/en\/wp-json\/wp\/v2\/comments?post=58923"}],"version-history":[{"count":10,"href":"https:\/\/www.eccentrix.ca\/en\/wp-json\/wp\/v2\/posts\/58923\/revisions"}],"predecessor-version":[{"id":58941,"href":"https:\/\/www.eccentrix.ca\/en\/wp-json\/wp\/v2\/posts\/58923\/revisions\/58941"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.eccentrix.ca\/en\/wp-json\/wp\/v2\/media\/58898"}],"wp:attachment":[{"href":"https:\/\/www.eccentrix.ca\/en\/wp-json\/wp\/v2\/media?parent=58923"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.eccentrix.ca\/en\/wp-json\/wp\/v2\/categories?post=58923"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.eccentrix.ca\/en\/wp-json\/wp\/v2\/tags?post=58923"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}