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1. The data engineering team has configured a job to process customer requests to be forgotten (have their data deleted). All user data that needs to be deleted is stored in Delta Lake tables using default table settings.
The team has decided to process all deletions from the previous week as a batch job at 1am each Sunday. The total duration of this job is less than one hour. Every Monday at 3am, a batch job executes a series of VACUUM commands on all Delta Lake tables throughout the organization.
The compliance officer has recently learned about Delta Lake's time travel functionality. They are concerned that this might allow continued access to deleted data.
Assuming all delete logic is correctly implemented, which statement correctly addresses this concern?

A) Because the default data retention threshold is 7 days, data files containing deleted records will be retained until the vacuum job is run 8 days later.Get Latest & Actual Certified-Data-Engineer-Professional Exam's Question and Answers from
B) Because the default data retention threshold is 24 hours, data files containing deleted records will be retained until the vacuum job is run the following day.
C) Because Delta Lake's delete statements have ACID guarantees, deleted records will be permanently purged from all storage systems as soon as a delete job completes.
D) Because the vacuum command permanently deletes all files containing deleted records, deleted records may be accessible with time travel for around 24 hours.
E) Because Delta Lake time travel provides full access to the entire history of a table, deleted records can always be recreated by users with full admin privileges.

2. A new data engineer notices that a critical field was omitted from an application that writes its Kafka source to Delta Lake. This happened even though the critical field was in the Kafka source.
That field was further missing from data written to dependent, long-term storage. The retention threshold on the Kafka service is seven days. The pipeline has been in production for three months.
Which describes how Delta Lake can help to avoid data loss of this nature in the future?

A) Ingestine all raw data and metadata from Kafka to a bronze Delta table creates a permanent, replayable history of the data state.Get Latest & Actual Certified-Data-Engineer-Professional Exam's Question and Answers from
B) Delta Lake schema evolution can retroactively calculate the correct value for newly added fields, as long as the data was in the original source.
C) Data can never be permanently dropped or deleted from Delta Lake, so data loss is not possible under any circumstance.
D) Delta Lake automatically checks that all fields present in the source data are included in the ingestion layer.
E) The Delta log and Structured Streaming checkpoints record the full history of the Kafka producer.

3. A junior data engineer has been asked to develop a streaming data pipeline with a grouped aggregation using DataFrame df. The pipeline needs to calculate the average humidity and average temperature for each non-overlapping five-minute interval. Incremental state information should be maintained for 10 minutes for late-arriving data.
Streaming DataFrame df has the following schema:
"device_id INT, event_time TIMESTAMP, temp FLOAT, humidity FLOAT"
Code block:

Choose the response that correctly fills in the blank within the code block to complete this task.

A) slidingWindow("event_time", "10 minutes")
B) await("event_time + `10 minutes'")
C) withWatermark("event_time", "10 minutes")
D) delayWrite("event_time", "10 minutes")
E) awaitArrival("event_time", "10 minutes")

4. The data architect has mandated that all tables in the Lakehouse should be configured as external (also known as "unmanaged") Delta Lake tables.
Which approach will ensure that this requirement is met?

A) When a database is being created, make sure that the LOCATION keyword is used.
B) When data is saved to a table, make sure that a full file path is specified alongside the Delta format.
C) When tables are created, make sure that the EXTERNAL keyword is used in the CREATE TABLE statement.
D) When configuring an external data warehouse for all table storage, leverage Databricks for all ELT.
E) When the workspace is being configured, make sure that external cloud object storage has been mounted.

5. A developer has successfully configured credential for Databricks Repos and cloned a remote Git repository. Hey don not have privileges to make changes to the main branch, which is the only branch currently visible in their workspace.
Use Response to pull changes from the remote Git repository commit and push changes to a branch that appeared as a changes were pulled.

A) Use Repos to merge all differences and make a pull request back to the remote repository.
B) Use Repos to pull changes from the remote Git repository; commit and push changes to a branch that appeared as changes were pulled.
C) Use repos to merge all difference and make a pull request back to the remote repository.
D) Use Repos to create a new branch commit all changes and push changes to the remote Git repertory.
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E) Use repos to create a fork of the remote repository commit all changes and make a pull request on the source repository

問題與答案：