無料Databricks Databricks-Certified-Data-Engineer-Associate試験問題と解答トレーニングを提供しています
トップクラスDatabricks Databricks-Certified-Data-Engineer-Associateオンライン問題集
質問 # 12
Which of the following commands will return the location of database customer360?
- A. DESCRIBE DATABASE customer360;
- B. DESCRIBE LOCATION customer360;
- C. USE DATABASE customer360;
- D. DROP DATABASE customer360;
- E. ALTER DATABASE customer360 SET DBPROPERTIES ('location' = '/user'};
正解：A
質問 # 13
A data engineering team has two tables. The first table march_transactions is a collection of all retail transactions in the month of March. The second table april_transactions is a collection of all retail transactions in the month of April. There are no duplicate records between the tables.
Which of the following commands should be run to create a new table all_transactions that contains all records from march_transactions and april_transactions without duplicate records?
- A. CREATE TABLE all_transactions AS
SELECT * FROM march_transactions
INNER JOIN SELECT * FROM april_transactions; - B. CREATE TABLE all_transactions AS
SELECT * FROM march_transactions
UNION SELECT * FROM april_transactions; - C. CREATE TABLE all_transactions AS
SELECT * FROM march_transactions
MERGE SELECT * FROM april_transactions; - D. CREATE TABLE all_transactions AS
SELECT * FROM march_transactions
INTERSECT SELECT * from april_transactions; - E. CREATE TABLE all_transactions AS
SELECT * FROM march_transactions
OUTER JOIN SELECT * FROM april_transactions;
正解：B
質問 # 14
Which of the following describes the storage organization of a Delta table?
- A. Delta tables are stored in a collection of files that contain data, history, metadata, and other attributes.
- B. Delta tables are stored in a single file that contains only the data stored within the table.
- C. Delta tables store their data in a single file and all metadata in a collection of files in a separate location.
- D. Delta tables are stored in a single file that contains data, history, metadata, and other attributes.
- E. Delta tables are stored in a collection of files that contain only the data stored within the table.
正解：A
質問 # 15
A data engineer is maintaining a data pipeline. Upon data ingestion, the data engineer notices that the source data is starting to have a lower level of quality. The data engineer would like to automate the process of monitoring the quality level.
Which of the following tools can the data engineer use to solve this problem?
- A. Auto Loader
- B. Unity Catalog
- C. Delta Live Tables
- D. Delta Lake
- E. Data Explorer
正解：D
質問 # 16
A data engineer is designing a data pipeline. The source system generates files in a shared directory that is also used by other processes. As a result, the files should be kept as is and will accumulate in the directory. The data engineer needs to identify which files are new since the previous run in the pipeline, and set up the pipeline to only ingest those new files with each run.
Which of the following tools can the data engineer use to solve this problem?
- A. Delta Lake
- B. Databricks SQL
- C. Unity Catalog
- D. Auto Loader
- E. Data Explorer
正解：D
質問 # 17
A data organization leader is upset about the data analysis team's reports being different from the data engineering team's reports. The leader believes the siloed nature of their organization's data engineering and data analysis architectures is to blame.
Which of the following describes how a data lakehouse could alleviate this issue?
- A. Both teams would autoscale their work as data size evolves
- B. Both teams would be able to collaborate on projects in real-time
- C. Both teams would reorganize to report to the same department
- D. Both teams would use the same source of truth for their work
- E. Both teams would respond more quickly to ad-hoc requests
正解：D
質問 # 18
Which of the following is hosted completely in the control plane of the classic Databricks architecture?
- A. Databricks web application
- B. JDBC data source
- C. Driver node
- D. Databricks Filesystem
- E. Worker node
正解：C
質問 # 19
A data engineer wants to schedule their Databricks SQL dashboard to refresh once per day, but they only want the associated SQL endpoint to be running when it is necessary.
Which of the following approaches can the data engineer use to minimize the total running time of the SQL endpoint used in the refresh schedule of their dashboard?
- A. They can turn on the Auto Stop feature for the SQL endpoint.
- B. They can reduce the cluster size of the SQL endpoint.
- C. They can ensure the dashboard's SQL endpoint matches each of the queries' SQL endpoints.
- D. They can ensure the dashboard's SQL endpoint is not one of the included query's SQL endpoint.
- E. They can set up the dashboard's SQL endpoint to be serverless.
正解：A
質問 # 20
A data engineer is attempting to drop a Spark SQL table my_table. The data engineer wants to delete all table metadata and data.
They run the following command:
DROP TABLE IF EXISTS my_table
While the object no longer appears when they run SHOW TABLES, the data files still exist.
Which of the following describes why the data files still exist and the metadata files were deleted?
- A. The table did not have a location
- B. The table's data was larger than 10 GB
- C. The table was managed
- D. The table was external
- E. The table's data was smaller than 10 GB
正解：D
質問 # 21
A data engineer has three tables in a Delta Live Tables (DLT) pipeline. They have configured the pipeline to drop invalid records at each table. They notice that some data is being dropped due to quality concerns at some point in the DLT pipeline. They would like to determine at which table in their pipeline the data is being dropped.
Which of the following approaches can the data engineer take to identify the table that is dropping the records?
- A. They can set up DLT to notify them via email when records are dropped.
- B. They can navigate to the DLT pipeline page, click on the "Error" button, and review the present errors.
- C. They can set up separate expectations for each table when developing their DLT pipeline.
- D. They can navigate to the DLT pipeline page, click on each table, and view the data quality statistics.
- E. They cannot determine which table is dropping the records.
正解：B
質問 # 22
A data engineer wants to create a new table containing the names of customers that live in France.
They have written the following command:
A senior data engineer mentions that it is organization policy to include a table property indicating that the new table includes personally identifiable information (PII).
Which of the following lines of code fills in the above blank to successfully complete the task?
- A. COMMENT "Contains PII"
- B. There is no way to indicate whether a table contains PII.
- C. TBLPROPERTIES PII
- D. "COMMENT PII"
- E. PII
正解：C
質問 # 23
A data analysis team has noticed that their Databricks SQL queries are running too slowly when connected to their always-on SQL endpoint. They claim that this issue is present when many members of the team are running small queries simultaneously. They ask the data engineering team for help. The data engineering team notices that each of the team's queries uses the same SQL endpoint.
Which of the following approaches can the data engineering team use to improve the latency of the team's queries?
- A. They can turn on the Serverless feature for the SQL endpoint and change the Spot Instance Policy to
"Reliability Optimized." - B. They can turn on the Serverless feature for the SQL endpoint.
- C. They can increase the maximum bound of the SQL endpoint's scaling range.
- D. They can turn on the Auto Stop feature for the SQL endpoint.
- E. They can increase the cluster size of the SQL endpoint.
正解：C
質問 # 24
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 Production mode using the Continuous 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 once and the pipeline will shut down. The compute resources will persist to allow for additional testing.
- B. 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.
- C. All datasets will be updated once and the pipeline will persist without any processing. The compute resources will persist but go unused.
- D. All datasets will be updated once and the pipeline will shut down. The compute resources will be terminated.
- E. All datasets will be updated at set intervals until the pipeline is shut down. The compute resources will persist to allow for additional testing.
正解：A
質問 # 25
A data engineer has a single-task Job that runs each morning before they begin working. After identifying an upstream data issue, they need to set up another task to run a new notebook prior to the original task.
Which of the following approaches can the data engineer use to set up the new task?
- A. They can create a new task in the existing Job and then add it as a dependency of the original task.
- B. They can clone the existing task in the existing Job and update it to run the new notebook.
- C. They can create a new task in the existing Job and then add the original task as a dependency of the new task.
- D. They can create a new job from scratch and add both tasks to run concurrently.
- E. They can clone the existing task to a new Job and then edit it to run the new notebook.
正解：E
質問 # 26
An engineering manager wants to monitor the performance of a recent project using a Databricks SQL query.
For the first week following the project's release, the managerwants the query results to be updated every minute. However, the manager is concerned that the compute resources used for the query will be left running and cost the organization a lot of money beyond the first week of the project's release.
Which of the following approaches can the engineering team use to ensure the query does not cost the organization any money beyond the first week of the project's release?
- A. They can set a limit to the number of DBUs that are consumed by the SQL Endpoint.
- B. They can set the query's refresh schedule to end on a certain date in the query scheduler.
- C. They cannot ensure the query does not cost the organization money beyond the first week of the project's release.
- D. They can set the query's refresh schedule to end after a certain number of refreshes.
- E. They can set a limit to the number of individuals that are able to manage the query's refresh schedule.
正解：B
質問 # 27
A data engineer has realized that they made a mistake when making a daily update to a table. They need to use Delta time travel to restore the table to a version that is 3 days old. However, when the data engineer attempts to time travel to the older version, they are unable to restore the data because the data files have been deleted.
Which of the following explains why the data files are no longer present?
- A. The HISTORY command was run on the table
- B. The TIME TRAVEL command was run on the table
- C. The DELETE HISTORY command was run on the table
- D. The VACUUM command was run on the table
- E. The OPTIMIZE command was nun on the table
正解：C
質問 # 28
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 dropped from the target dataset and recorded as invalid in the event log.
- E. Records that violate the expectation are added to the target dataset and flagged as invalid in a field added to the target dataset.
正解：C
質問 # 29
A data analyst has created a Delta table sales that is used by the entire data analysis team. They want help from the data engineering team to implement a series of tests to ensure the data is clean. However, the data engineering team uses Python for its tests rather than SQL.
Which of the following commands could the data engineering team use to access sales in PySpark?
- A. There is no way to share data between PySpark and SQL.
- B. SELECT * FROM sales
- C. spark.table("sales")
- D. spark.delta.table("sales")
- E. spark.sql("sales")
正解：D
質問 # 30
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最新（2023)Databricks Databricks-Certified-Data-Engineer-Associate試験問題集：https://jp.fast2test.com/Databricks-Certified-Data-Engineer-Associate-premium-file.html
Databricks-Certified-Data-Engineer-Associate練習問題集で検証済みのFast2test更新された47問題あります：https://drive.google.com/open?id=1fwCLumfqSSNVU7srIbOV1-7kLnboOVuy