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Databricks Certified Data Engineer Professional Sample Questions:
1. The data science team has requested assistance in accelerating queries on free form text from user reviews. The data is currently stored in Parquet with the below schema:
item_id INT, user_id INT, review_id INT, rating FLOAT, review STRING
The review column contains the full text of the review left by the user. Specifically, the data science team is looking to identify if any of 30 key words exist in this field.
A junior data engineer suggests converting this data to Delta Lake will improve query performance.
Which response to the junior data engineer's suggestion is correct?
A) Text data cannot be stored with Delta Lake.
B) ZORDER ON review will need to be run to see performance gains.
C) The Delta log creates a term matrix for free text fields to support selective filtering.
D) Delta Lake statistics are only collected on the first 4 columns in a table.
E) Delta Lake statistics are not optimized for free text fields with high cardinality.
2. A company wants to implement Lakehouse Federation across multiple data sources but is concerned about data consistency and ensuring that all teams access the same authoritative version of their data. Which statement is applicable for Lakehouse Federations to maintain data consistency?
A) Federation implements change data capture (CDC) from all sources.
B) Federation creates local copies that must be manually refreshed.
C) A separate data synchronization service must be deployed.
D) Federation provides read-only access that reflects the current state of source systems.
3. Which statement describes Delta Lake optimized writes?
A) A shuffle occurs prior to writing to try to group data together resulting in fewer files instead of each executor writing multiple files based on directory partitions.
B) Before a job cluster terminates, OPTIMIZE is executed on all tables modified during the most recent job.
C) Optimized writes logical partitions instead of directory partitions partition boundaries are only represented in metadata fewer small files are written.
D) An asynchronous job runs after the write completes to detect if files could be further compacted; yes, an OPTIMIZE job is executed toward a default of 1 GB.
4. A data engineering team is implementing an append-only data pipeline using Delta Lake, and wants to ensure that data is never modified or deleted once written. Which Delta Lake feature should the data engineer enable to prevent modifications to existing data?
A) Delta APPEND_ONLY
B) Delta Time Travel
C) Delta OPTIMIZE
D) Delta VACUUM
5. 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 an extremely long-running job for which completion must be guaranteed, which cluster configuration will be able to guarantee completion of the job in light of one or more VM failures?
A) - Total VMs: 16
- 25 GB per Executor
- 10 Cores / Executor
B) - Total VMs: 4
- 100 GB per Executor
- 40 Cores / Executor
C) - Total VMs: 8
- 50 GB per Executor
- 20 Cores / Executor
D) - Total VMs: 1
- 400 GB per Executor
- 160 Cores/Executor
E) - Total VMs: 2
- 200 GB per Executor
- 80 Cores / Executor
Solutions:
| Question # 1 Answer: E | Question # 2 Answer: D | Question # 3 Answer: A | Question # 4 Answer: A | Question # 5 Answer: A |



