This is a simple exam aimed at someone with close to six months of experience working with Databricks platform Minimally Qualified Candidate The minimally qualified candidate should be able to:
- Understand how to use and the benefits of using the Databricks Lakehouse Platform and its tools, including:
- Data Lakehouse (architecture, descriptions, benefits)
- Data Science and Engineering workspace (clusters, notebooks, data storage)
- Delta Lake (general concepts, table management and manipulation, optimizations)
- Build ETL pipelines using Apache Spark SQL and Python, including:
- Relational entities (databases, tables, views)
- ELT (creating tables, writing data to tables, cleaning data, combining and reshaping tables, SQL UDFs)
- Python (facilitating Spark SQL with string manipulation and control flow, passing data between PySpark and Spark SQL)
- Incrementally process data, including:
- Structured Streaming (general concepts, triggers, watermarks)
- Auto Loader (streaming reads)
- Multi-hop Architecture (bronze-silver-gold, streaming applications)
- Delta Live Tables (benefits and features)
- Build production pipelines for data engineering applications and Databricks SQL queries and dashboards, including:
- Jobs (scheduling, task orchestration, UI)
- Dashboards (endpoints, scheduling, alerting, refreshing)
- Understand and follow best security practices, including:
- Unity Catalog (benefits and features)
- Entity Permissions (team-based permissions, user-based permissions)
Duration
Testers will have 90 minutes to complete the certification exam. Questions
There are 45 multiple-choice questions on the certification exam. The questions will be distributed by high-level topic in the following way: Breakdown
- Databricks Lakehouse Platform – 24% (11/45)
- ELT with Spark SQL and Python – 29% (13/45)
- Incremental Data Processing – 22% (10/45)
- Production Pipelines – 16% (7/45)
- Data Governance – 9% (4/45)
Each attempt of the certification exam will cost the tester $200. Testers might be subjected to tax payments depending on their location. Testers are able to retake the exam as many times as they would like, but they will need to pay $200 for each attempt. Study strategy
- To study for this course I used my companie's partner account for the Data Engineering with Databricks V2 in the DB Academy
- Good notebooks to prepare are in this github account
- Databricks community cloud is good for practice but it does not have unity catalog and Delta live tables or DB SQL End point etc to practice
- Practice test
I didnt spend much time since I was familiar with it but I think about 2 weeks of dedicated effort of 3-4 hours by someone who is relatively new to databricks should be sufficient.
With this preparation you should be able to easily pass this test
Happy learning My certification
