A data engineering team is migrating off its legacy Hadoop platform. As part of the process, they are evaluating storage formats for performance comparison. The legacy platform uses ORC and RCFile formats. After converting a subset of data to Delta Lake, they noticed significantly better query performance. Upon investigation, they discovered that queries reading from Delta tables leveraged a Shuffle Hash Join, whereas queries on legacy formats used Sort Merge Joins. The queries reading Delta Lake data also scanned less data. Which reason could be attributed to the difference in query performance?

• A.Delta Lake enables data skipping and file pruning using a vectorized Parquet reader.
• B.The queries against the Delta Lake tables were able to leverage the dynamic file pruning optimization.
• C.Shuffle Hash Joins are always more efficient than Sort Merge Joins.
• D.The queries against the ORC tables leveraged the dynamic data skipping optimization but not the dynamic file pruning optimization.

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The view updates represents an incremental batch of all newly ingested data to be inserted or updated in the customers table.
The following logic is used to process these records.
MERGE INTO customers
USING (
SELECT updates.customer_id as merge_ey, updates .*
FROM updates
UNION ALL
SELECT NULL as merge_key, updates .*
FROM updates JOIN customers
ON updates.customer_id = customers.customer_id
WHERE customers.current = true AND updates.address <> customers.address ) staged_updates ON customers.customer_id = mergekey WHEN MATCHED AND customers. current = true AND customers.address <> staged_updates.address THEN UPDATE SET current = false, end_date = staged_updates.effective_date WHEN NOT MATCHED THEN INSERT (customer_id, address, current, effective_date, end_date) VALUES (staged_updates.customer_id, staged_updates.address, true, staged_updates.effective_date, null) Which statement describes this implementation?

• A.The customers table is implemented as a Type 2 table; old values are overwritten and new customers are appended.
• B.The customers table is implemented as a Type 1 table; old values are overwritten by new values and no history is maintained.
• C.The customers table is implemented as a Type 2 table; old values are maintained but marked as no longer current and new values are inserted.
• D.The customers table is implemented as a Type 0 table; all writes are append only with no changes to existing values.

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Which statement describes integration testing?

• A.Validates interactions between subsystems of your application
• B.Requires an automated testing framework
• C.Requires manual intervention
• D.Validates an application use case
• E.Validates behavior of individual elements of your application

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A data architect is designing a Databricks solution to efficiently process data for different business requirements. In which scenario should a data engineer use a materialized view compared to a streaming table?

• A.Implementing a CDC (Change Data Capture) pipeline that needs to detect and respond to database changes within seconds.
• B.Ingesting data from Apache Kafka topics with sub-second processing requirements for immediate alerting.
• C.Precomputing complex aggregations and joins from multiple large tables to accelerate BI dashboard performance.
• D.Processing high-volume, continuous clickstream data from a website to monitor user behavior in real-time.

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A CHECK constraint has been successfully added to the Delta table named activity_details using the following logic:

A batch job is attempting to insert new records to the table, including a record where latitude =
45.50 and longitude = 212.67.
Which statement describes the outcome of this batch insert?

• A.The write will fail when the violating record is reached; any records previously processed will be recorded to the target table.
• B.The write will fail completely because of the constraint violation and no records will be inserted into the target table.
• C.The write will insert all records except those that violate the table constraints; the violating records will be recorded to a quarantine table.
• D.The write will include all records in the target table; any violations will be indicated in the boolean column named valid_coordinates.
• E.The write will insert all records except those that violate the table constraints; the violating records will be reported in a warning log.

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