{"id":334,"date":"2025-08-04T15:55:29","date_gmt":"2025-08-04T15:55:29","guid":{"rendered":"https:\/\/dataopsschool.com\/blog\/?p=334"},"modified":"2025-08-04T15:55:30","modified_gmt":"2025-08-04T15:55:30","slug":"data-engineer-professional-certification","status":"publish","type":"post","link":"https:\/\/dataopsschool.com\/blog\/data-engineer-professional-certification\/","title":{"rendered":"Data Engineer Professional Certification"},"content":{"rendered":"\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\">Data Engineer Professional Certification<\/h2>\n\n\n\n<p><strong>Domains &amp; weightings from official documentation (updated 2025)<\/strong> (<a href=\"https:\/\/www.databricks.com\/learn\/certification\/data-engineer-professional?utm_source=chatgpt.com\">Databricks<\/a>, Whizlabs).<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Domain 1: Databricks Tooling (\u224820%)<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Advanced use of platform tools: CLI, REST API, MLflow tracking integration<\/li>\n\n\n\n<li>Development workflows: notebooks, Repos, Asset Bundle (DAB), Databricks Connect<\/li>\n\n\n\n<li>Spark UI &amp; performance diagnostics using monitoring GPUs, stages, storage tuning<br><strong>Hands-on:<\/strong> Use CLI and REST to manage clusters and jobs; create Asset Bundle deployments; tune Spark jobs via Spark UI analytics.<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">Domain 2: Data Processing (\u224830%)<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Complex ETL pipelines using Spark (Python\/SQL), Delta Lake advanced features<\/li>\n\n\n\n<li>Performance tuning: partitioning, caching, broadcast joins, skew mitigation<\/li>\n\n\n\n<li>Structured streaming pipelines and batch coordination; fault tolerance<br><strong>Hands-on:<\/strong> Build and tune streaming jobs; apply caching, broadcast joins; simulate skew and resolve it.<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">Domain 3: Data Modeling (\u224820%)<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Designing lakehouse schemas: star, snowflake models, normalized vs denormalized<\/li>\n\n\n\n<li>Data partitioning strategies, schema evolution best practices<\/li>\n\n\n\n<li>Databricks-specific modeling patterns, Delta table optimization<br><strong>Hands-on:<\/strong> Model a realistic star schema dataset, implement partitions, evolve schema.<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">Domain 4: Security &amp; Governance (\u224810%)<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Enterprise-level governance: Unity Catalog advanced configurations, secure clusters, workspace isolation<\/li>\n\n\n\n<li>Data encryption, ACLs on tables\/views, governance policies<br><strong>Hands-on:<\/strong> Configure secure cluster policies, manage encryption-at-rest and in-transit, assign complex ACLs.<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">Domain 5: Monitoring &amp; Logging (\u224810%)<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Logging frameworks, job-level logs, metrics collection, audit logs<\/li>\n\n\n\n<li>Setup alerting dashboards, monitoring dashboards for data pipeline performance<br><strong>Hands-on:<\/strong> Enable and interpret job logs, create Databricks SQL dashboards for monitoring pipeline health, configure alerts.<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">Domain 6: Testing &amp; Deployment (\u224810%)<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Unit testing for Spark\/SQL jobs; data quality validation; integration tests<\/li>\n\n\n\n<li>CI\/CD pipelines: Git branching, automated deployments via Asset Bundles and jobs<\/li>\n\n\n\n<li>Version control, rollback strategies, Canary deployments<br><strong>Hands-on:<\/strong> Write unit tests (e.g. pytest with Delta), simulate CI\/CD with GitHub Actions or Azure DevOps, deploy via Asset Bundles.<\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Data Engineer Professional Certification Domains &amp; weightings from official documentation (updated 2025) (Databricks, Whizlabs). Domain 1: Databricks Tooling (\u224820%) Domain 2: Data Processing (\u224830%) Domain 3: Data&#8230; <\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-334","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"_links":{"self":[{"href":"https:\/\/dataopsschool.com\/blog\/wp-json\/wp\/v2\/posts\/334","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/dataopsschool.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/dataopsschool.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/dataopsschool.com\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/dataopsschool.com\/blog\/wp-json\/wp\/v2\/comments?post=334"}],"version-history":[{"count":1,"href":"https:\/\/dataopsschool.com\/blog\/wp-json\/wp\/v2\/posts\/334\/revisions"}],"predecessor-version":[{"id":335,"href":"https:\/\/dataopsschool.com\/blog\/wp-json\/wp\/v2\/posts\/334\/revisions\/335"}],"wp:attachment":[{"href":"https:\/\/dataopsschool.com\/blog\/wp-json\/wp\/v2\/media?parent=334"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/dataopsschool.com\/blog\/wp-json\/wp\/v2\/categories?post=334"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/dataopsschool.com\/blog\/wp-json\/wp\/v2\/tags?post=334"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}