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| Section | Objectives |
|---|---|
| Topic 1: Ensuring Data Security and Compliance | - Ensuring Compliance
|
| Topic 2: Cost & Performance Optimization | - Optimize cost and performance
|
| Topic 3: Data Ingestion & Acquisition | - Design and implement data ingestion pipelines
|
| Topic 4: Data Governance | - Govern enterprise data
|
| Topic 5: Data Transformation, Cleansing, and Quality | - Transform and validate data
|
| Topic 6: Data Modeling | - Design and optimize data models
|
| Topic 7: Data Sharing and Federation | - Share and federate data
|
| Topic 8: Developing Code for Data Processing using Python and SQL | - Using Python and Tools for Development
|
| Topic 9: Debugging and Deploying | - Debugging and Troubleshooting
|
| Topic 10: Monitoring and Alerting | - Monitoring
|
1. A Delta Lake table was created with the below query:
Realizing that the original query had a typographical error, the below code was executed:
ALTER TABLE prod.sales_by_stor RENAME TO prod.sales_by_store
Which result will occur after running the second command?
A) A new Delta transaction log Is created for the renamed table.
B) The table reference in the metastore is updated and no data is changed.
C) All related files and metadata are dropped and recreated in a single ACID transaction.
D) The table reference in the metastore is updated and all data files are moved.
E) The table name change is recorded in the Delta transaction log.
2. Which statement describes a key benefit of an end-to-end test?
A) It pinpoint errors in the building blocks of your application.
B) It makes it easier to automate your test suite
C) It closely simulates real world usage of your application.
D) It provides testing coverage for all code paths and branches.
3. A data engineer is setting up a pipeline to ingest data from a message bus system that occasionally delivers duplicate messages. The duplicate messages can be a week apart. The target is a Databricks Delta Lake table where each record should appear exactly once. Which Databricks ingestion pattern should be implemented to handle potential duplicates where events can arrive outside of the configured watermark?
A) Use Delta Lake time travel to identify and remove duplicates
B) Use Delta Lake's change data feed to filter duplicate records
C) Configure Structured Streaming with dropDuplicates transformation
D) Implement a write operation using MERGE INTO with a unique key
4. A junior data engineer has manually configured a series of jobs using the Databricks Jobs UI.
Upon reviewing their work, the engineer realizes that they are listed as the "Owner" for each job.
They attempt to transfer "Owner" privileges to the "DevOps" group, but cannot successfully accomplish this task.
Which statement explains what is preventing this privilege transfer?
A) Other than the default "admins" group, only individual users can be granted privileges on jobs.
B) Databricks jobs must have exactly one owner; "Owner" privileges cannot be assigned to a group.
C) A user can only transfer job ownership to a group if they are also a member of that group.
D) The creator of a Databricks job will always have "Owner" privileges; this configuration cannot be changed.
E) Only workspace administrators can grant "Owner" privileges to a group.
5. 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 insert all records except those that violate the table constraints; the violating records will be recorded to a quarantine table.
B) The write will fail when the violating record is reached; any records previously processed will be recorded to the target table.
C) The write will insert all records except those that violate the table constraints; the violating records will be reported in a warning log.
D) The write will fail completely because of the constraint violation and no records will be inserted into the target table.
E) The write will include all records in the target table; any violations will be indicated in the boolean column named valid_coordinates.
Solutions:
| Question # 1 Answer: B | Question # 2 Answer: C | Question # 3 Answer: D | Question # 4 Answer: B | Question # 5 Answer: D |
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