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Databricks Certified-Data-Engineer-Professional Exam Syllabus Topics:

Databricks Certified Data Engineer Professional Sample Questions:

Question 1

A data architect is implementing Delta Sharing as part of their data governance strategy to enable secure data collaboration with external partners and internal business units. The architect must establish a permission framework that allows designated data stewards to create shares for their respective domains while maintaining security boundaries and audit compliance. Which specific permissions and roles must be assigned to enable users to create, configure, and manage Delta Shares while maintaining proper security governance and access controls?

A. Only workspace admins can create and manage shares
B. Users need to be metastore admins or have CREATE SHARE privilege for the metastore
C. Any user with USE_CATALOG privilege can create shares
D. Users need the MANAGE SHARES permission on the workspace

Question 2

Predictive Optimization is an automated Databricks service enabled by default for Unity Catalog Managed tables. It helps maintain Delta tables by continuously optimizing them to ensure optimal performance and costs. Which two operations does Predictive Optimization run to maintain the Delta tables? (Choose two.)

A. PARTITION BY
B. ANALYZE
C. OPTIMIZE
D. COMPACT
E. BUCKETING

Question 3

A view is registered with the following code:

Both users and orders are Delta Lake tables.
Which statement describes the results of querying recent_orders?

A. The versions of each source table will be stored in the table transaction log; query results will be saved to DBFS with each query.
B. All logic will execute at query time and return the result of joining the valid versions of the source tables at the time the query finishes.
C. All logic will execute when the table is defined and store the result of joining tables to the DBFS; this stored data will be returned when the table is queried.
D. All logic will execute at query time and return the result of joining the valid versions of the source tables at the time the query began.

Question 4

Each configuration below is identical to the extent that each cluster has 400 GB total of RAM, 160 total cores and only one Executor per VM.
Given a job with at least one wide transformation, which of the following cluster configurations will result in maximum performance?

A. Total VMs: 8
50 GB per Executor
20 Cores / Executor
B. Total VMs: 2
200 GB per Executor
80 Cores / Executor
C. Total VMs: 1
400 GB per Executor
160 Cores / Executor
D. Total VMs: 4
100 GB per Executor
40 Cores/Executor

Question 5

Which configuration parameter directly affects the size of a spark-partition upon ingestion of data into Spark?

A. spark.sql.adaptive.advisoryPartitionSizeInBytes
B. spark.sql.adaptive.coalescePartitions.minPartitionNum
C. spark.sql.files.openCostInBytes
D. spark.sql.autoBroadcastJoinThreshold
E. spark.sql.files.maxPartitionBytes

Solutions: