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NEW QUESTION 37
A data engineering team is in the process of converting their existing data pipeline to utilize Auto Loader for
incremental processing in the ingestion of JSON files. One data engineer comes across the following code
block in the Auto Loader documentation:
1. (streaming_df = spark.readStream.format("cloudFiles")
2. .option("cloudFiles.format", "json")
3. .option("cloudFiles.schemaLocation", schemaLocation)
4. .load(sourcePath))
Assuming that schemaLocation and sourcePath have been set correctly, which of the following changes does
the data engineer need to make to convert this code block to use Auto Loader to ingest the data?

• A. There is no change required. The data engineer needs to ask their administrator to turn on Auto Loader
• B. There is no change required. The inclusion of format("cloudFiles") enables the use of Auto Loader
• C. The data engineer needs to add the .autoLoader line before the .load(sourcePath) line
• D. The data engineer needs to change the format("cloudFiles") line to format("autoLoader")
• E. There is no change required. Databricks automatically uses Auto Loader for streaming reads

Answer: B

NEW QUESTION 38
A data engineer has written the following query:
1. SELECT *
2. FROM json.`/path/to/json/file.json`;
The data engineer asks a colleague for help to convert this query for use in a Delta Live Tables (DLT)
pipeline. The query should create the first table in the DLT pipeline.
Which of the following describes the change the colleague needs to make to the query?

• A. They need to add a CREATE LIVE TABLE table_name AS line at the beginning of the query
• B. They need to add a COMMENT line at the beginning of the query
• C. They need to add a CREATE DELTA LIVE TABLE table_name AS line at the beginning of the query
• D. They need to add the cloud_files(...) wrapper to the JSON file path
• E. They need to add a live. prefix prior to json. in the FROM line

Answer: A

NEW QUESTION 39
A data engineer wants to create a relational object by pulling data from two tables. The relational object must
be used by other data engineers in other sessions. In order to save on storage costs, the data engineer wants to
avoid copying and storing physical data.
Which of the following relational objects should the data engineer create?

• A. Temporary view
• B. Spark SQL Table
• C. Delta Table
• D. Database
• E. View

Answer: E

NEW QUESTION 40
A Delta Live Table pipeline includes two datasets defined using STREAMING LIVE TABLE.
Three datasets are defined against Delta Lake table sources using LIVE TABLE . The table is configured to
run in Development mode using the Triggered Pipeline Mode.
Assuming previously unprocessed data exists and all definitions are valid, what is the expected outcome after
clicking Start to update the pipeline?

• A. All datasets will be updated at set intervals until the pipeline is shut down. The compute resources will
  be deployed for the update and terminated when the pipeline is stopped
• B. All datasets will be updated once and the pipeline will shut down. The compute resources will persist to
  allow for additional testing
• C. All datasets will be updated once and the pipeline will shut down. The compute resources will be
  terminated
• D. All datasets will be updated continuously and the pipeline will not shut down. The compute resources
  will persist with the pipeline
• E. All datasets will be updated at set intervals until the pipeline is shut down. The compute resources will
  persist after the pipeline is stopped to allow for additional testing

Answer: B

NEW QUESTION 41
......

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