2023 Valid Databricks-Certified-Data-Engineer-Associate Real Exam Questions, practice GAQM: Date Centre
Latest Success Metrics For Actual Databricks-Certified-Data-Engineer-Associate Exam (Updated 47 Questions)
NEW QUESTION # 25
Which of the following code blocks will remove the rows where the value in column age is greater than 25 from the existing Delta table my_table and save the updated table?
- A. UPDATE my_table WHERE age <= 25;
- B. DELETE FROM my_table WHERE age <= 25;
- C. UPDATE my_table WHERE age > 25;
- D. SELECT * FROM my_table WHERE age > 25;
- E. DELETE FROM my_table WHERE age > 25;
Answer: E
NEW QUESTION # 26
A data engineer has been using a Databricks SQL dashboard to monitor the cleanliness of the input data to an ELT job. The ELT job has its Databricks SQL query that returns the number of input records containing unexpected NULL values. The data engineer wants their entire team to be notified via a messaging webhook whenever this value reaches 100.
Which of the following approaches can the data engineer use to notify their entire team via a messaging webhook whenever the number of NULL values reaches 100?
- A. They can set up an Alert without notifications.
- B. They can set up an Alert with a new webhook alert destination.
- C. They can set up an Alert with one-time notifications.
- D. They can set up an Alert with a custom template.
- E. They can set up an Alert with a new email alert destination.
Answer: B
NEW QUESTION # 27
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 Auto Stop feature for the SQL endpoint.
- B. They can turn on the Serverless feature for the SQL endpoint and change the Spot Instance Policy to
"Reliability Optimized." - C. They can increase the cluster size of the SQL endpoint.
- D. They can increase the maximum bound of the SQL endpoint's scaling range.
- E. They can turn on the Serverless feature for the SQL endpoint.
Answer: D
NEW QUESTION # 28
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 be able to collaborate on projects in real-time
- B. Both teams would use the same source of truth for their work
- C. Both teams would respond more quickly to ad-hoc requests
- D. Both teams would reorganize to report to the same department
- E. Both teams would autoscale their work as data size evolves
Answer: B
NEW QUESTION # 29
A data engineer only wants to execute the final block of a Python program if the Python variable day_of_week is equal to 1 and the Python variable review_period is True.
Which of the following control flow statements should the data engineer use to begin this conditionally executed code block?
- A. if day_of_week == 1 and review_period == "True":
- B. if day_of_week = 1 & review_period: = "True":
- C. if day_of_week = 1 and review_period:
- D. if day_of_week == 1 and review_period:
- E. if day_of_week = 1 and review_period = "True":
Answer: A
NEW QUESTION # 30
A data engineer wants to create a data entity from a couple of tables. The data entity must be used by other data engineers in other sessions. It also must be saved to a physical location.
Which of the following data entities should the data engineer create?
- A. View
- B. Function
- C. Table
- D. Temporary view
- E. Database
Answer: A
NEW QUESTION # 31
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 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 be terminated.
- C. All datasets will be updated once and the pipeline will shut down. The compute resources will persist to allow for additional testing.
- D. All datasets will be updated once and the pipeline will persist without any processing. The compute resources will persist but go unused.
- 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.
Answer: C
NEW QUESTION # 32
Which of the following commands will return the location of database customer360?
- A. DESCRIBE LOCATION customer360;
- B. DROP DATABASE customer360;
- C. ALTER DATABASE customer360 SET DBPROPERTIES ('location' = '/user'};
- D. DESCRIBE DATABASE customer360;
- E. USE DATABASE customer360;
Answer: D
NEW QUESTION # 33
Which of the following data lakehouse features results in improved data quality over a traditional data lake?
- A. A data lakehouse enables machine learning and artificial Intelligence workloads.
- B. A data lakehouse supports ACID-compliant transactions.
- C. A data lakehouse allows the use of SQL queries to examine data.
- D. A data lakehouse provides storage solutions for structured and unstructured data.
- E. A data lakehouse stores data in open formats.
Answer: C
NEW QUESTION # 34
A data engineer needs to apply custom logic to string column city in table stores for a specific use case. In order to apply this custom logic at scale, the data engineer wants to create a SQL user-defined function (UDF).
Which of the following code blocks creates this SQL UDF?
- A.
- B.
- C.
- D.
- E.
Answer: B
NEW QUESTION # 35
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's data was larger than 10 GB
- B. The table's data was smaller than 10 GB
- C. The table was external
- D. The table did not have a location
- E. The table was managed
Answer: C
NEW QUESTION # 36
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 are added to the target dataset and recorded as invalid in the event log.
- B. Records that violate the expectation are dropped from the target dataset and recorded as invalid in the event log.
- C. Records that violate the expectation are dropped from the target dataset and loaded into a quarantine table.
- D. Records that violate the expectation cause the job to fail.
- E. Records that violate the expectation are added to the target dataset and flagged as invalid in a field added to the target dataset.
Answer: A
NEW QUESTION # 37
A new data engineering team team. has been assigned to an ELT project. The new data engineering team will need full privileges on the database customers to fully manage the project.
Which of the following commands can be used to grant full permissions on the database to the new data engineering team?
- A. GRANT SELECT PRIVILEGES ON DATABASE customers TO teams;
- B. GRANT SELECT CREATE MODIFY USAGE PRIVILEGES ON DATABASE customers TO team;
- C. GRANT ALL PRIVILEGES ON DATABASE customers TO team;
- D. GRANT USAGE ON DATABASE customers TO team;
- E. GRANT ALL PRIVILEGES ON DATABASE team TO customers;
Answer: C
NEW QUESTION # 38
Which of the following benefits is provided by the array functions from Spark SQL?
- A. An ability to work with data in a variety of types at once
- B. An ability to work with an array of tables for procedural automation
- C. An ability to work with data within certain partitions and windows
- D. An ability to work with complex, nested data ingested from JSON files
- E. An ability to work with time-related data in specified intervals
Answer: C
NEW QUESTION # 39
A new data engineering team has been assigned to work on a project. The team will need access to database customers in order to see what tables already exist. The team has its own group team.
Which of the following commands can be used to grant the necessary permission on the entire database to the new team?
- A. GRANT VIEW ON CATALOG customers TO team;
- B. GRANT USAGE ON DATABASE customers TO team;
- C. GRANT CREATE ON DATABASE team TO customers;
- D. GRANT CREATE ON DATABASE customers TO team;
- E. GRANT USAGE ON CATALOG team TO customers;
Answer: B
NEW QUESTION # 40
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 job from scratch and add both tasks to run concurrently.
- B. They can clone the existing task in the existing Job and update it to run the new notebook.
- C. They can clone the existing task to a new Job and then edit it to run the new notebook.
- D. They can create a new task in the existing Job and then add the original task as a dependency of the new task.
- E. They can create a new task in the existing Job and then add it as a dependency of the original task.
Answer: C
NEW QUESTION # 41
Which of the following commands can be used to write data into a Delta table while avoiding the writing of duplicate records?
- A. APPEND
- B. DROP
- C. MERGE
- D. INSERT
- E. IGNORE
Answer: C
NEW QUESTION # 42
In order for Structured Streaming to reliably track the exact progress of the processing so that it can handle any kind of failure by restarting and/or reprocessing, which of the following two approaches is used by Spark to record the offset range of the data being processed in each trigger?
- A. Checkpointing and Write-ahead Logs
- B. Replayable Sources and Idempotent Sinks
- C. Structured Streaming cannot record the offset range of the data being processed in each trigger.
- D. Checkpointing and Idempotent Sinks
- E. Write-ahead Logs and Idempotent Sinks
Answer: D
NEW QUESTION # 43
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