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[NEW] Databricks Data Engineer Associate

Name: [NEW] Databricks Data Engineer Associate
Price: 99.99 USD
Availability: InStock

About this course

Detailed Exam Domain CoverageTo pass the Databricks Certified Data Engineer Associate exam, you need to master the platform's core architecture and programmatic paradigms. This practice test bank maps directly to the official curriculum across these five core domains:Databricks Intelligence Platform (10%)Workspace architecture, clusters, and multi-cloud environmentsCore platform capabilities (Notebooks, repos, data storage concepts)Development and Ingestion (30%)Building scalable ETL pipelines using Spark SQL and PySparkIncremental data extraction and ingestion using Auto Loader and COPY INTORegistering and deploying custom User-Defined Functions (UDFs)Data Processing & Transformations (31%)Advanced data transformation techniques (deduplication, filtering, joins)Handling complex nested data types (Arrays, Maps, Structs)Leveraging Delta Lake features, ACID transactions, and history trackingProductionizing Data Pipelines (18%)Orchestrating multi-task jobs via Databricks WorkflowsConfiguring cron schedules, triggers, and task dependenciesDeploying Delta Live Tables (DLT) for automated streaming pipelinesData Governance & Quality (11%)Managing securable objects using Unity Catalog (Catalogs, Schemas, Tables, Views)Enforcing data quality constraints and monitoring pipeline integrityApplying security and compliance features (row-level security, column masking)Course DescriptionPassing the Databricks Certified Data Engineer Associate exam requires more than just memorizing definitions. The actual exam tests your ability to read code snippets, troubleshoo

69/100

CourseAsk score

What the provider tells you: 45/45
Who stands behind it: 8/35
How complete the listing is: 16/20

Scores how much the provider publishes and who stands behind it — not how well it is taught.

What you'll learn

understand Databricks platform architecture
build scalable ETL pipelines using Spark SQL and PySpark
apply advanced data transformation techniques
manage data quality and security using Unity Catalog

Course objectives

prepare effectively for the Databricks Certified Data Engineer Associate exam
gain hands-on experience with data processing and transformation techniques
learn to orchestrate and automate data workflows

Cloud Computing #data governance #pyspark #spark sql #data transformation #data engineering #data pipelines #etl #data quality #delta lake #databricks #unity catalog #user-defined functions #streaming pipelines #job orchestration #incremental data extraction

$99.99

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