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Reference: https://www.databricks.com/learn/certification/data-engineer-associate
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Databricks Certified Data Engineer Associate Sample Questions:
A data engineer needs to process SQL queries on a large dataset with fluctuating workloads. The workload requires automatic scaling based on the volume of queries, without the need to manage or provision infrastructure. The solution should be cost-efficient and charge only for the compute resources used during query execution. Which compute option should the data engineer use?
- A. Databricks Jobs
- B. Databricks SQL Analytics
- C. Databricks Runtime for ML
- D. Serverless SQL Warehouse
Correct Answer: D 🗳️
Explanation: Only visible for ActualCollection members. You can sign-up / login (it's free).
A data provider must share a live Delta table with an external partner who uses an open-source Spark environment outside Databricks, without copying the data.
Which feature should be used?
- A. A Unity Catalog external location with a storage credential granted to the partner
- B. A materialized view exported as Parquet and delivered by SFTP
- C. A deep clone written to a partner-owned S3 bucket nightly
- D. Delta Sharing with a recipient and share
Correct Answer: D 🗳️
Explanation: Only visible for ActualCollection members. You can sign-up / login (it's free).
A data engineer wants to create an external table in Databricks that references data stored in an Azure Data Lake Storage (ADLS) location. The goal is to enable Databricks to access and query this external data without moving it into the Databricks-managed storage. Which step should the data engineer take to successfully create the external table?
- A. Use the CREATE MANAGED TABLE statement and specify the LOCATION clause with the path to the external data.
- B. Use the CREATE TABLE statement and specify the LOCATION clause with the path to the external data.
- C. CREATE EXTERNAL TABLE statement without specifying a LOCATION clause.
- D. CREATE UNMANAGED TABLE statement without specifying a LOCATION clause.
Correct Answer: B 🗳️
Explanation: Only visible for ActualCollection members. You can sign-up / login (it's free).
A pipeline uses COPY INTO to ingest CSV files from cloud object storage into a Unity Catalog Delta table. Some files are occasionally re-uploaded with corrections using the same filename.
The engineer needs the corrected data ingested as soon as it occurs. What should the engineer do?
- A. Overwrite the target Delta table on each run
- B. Recreate the target table before each run
- C. Load corrections as new files and apply updates to the target table
- D. Reload all files from the source path on each run
Correct Answer: C 🗳️
Explanation: Only visible for ActualCollection members. You can sign-up / login (it's free).
A dataset has been defined using Delta Live Tables and includes an expectations clause:
CONSTRAINT valid_timestamp EXPECT (timestamp > '2020-01-01') ON
VIOLATION DROP ROW
What is the expected behavior when a batch of data containing data that violates these constraints is processed?
- A. Records that violate the expectation cause the job to fail.
- B. Records that violate the expectation are dropped from the target dataset and loaded into a quarantine table.
- C. Records that violate the expectation are added to the target dataset and recorded as invalid in the event log.
- D. Records that violate the expectation are added to the target dataset and flagged as invalid in a field added to the target dataset.
- E. Records that violate the expectation are dropped from the target dataset and recorded as invalid in the event log.
Correct Answer: E 🗳️
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