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NEW QUESTION # 12
Which of the following describes the storage organization of a Delta table?
- A. Delta tables store their data in a single file and all metadata in a collection of files in a separate location.
- B. Delta tables are stored in a single file that contains only the data stored within the table.
- C. Delta tables are stored in a collection of files that contain only the data stored within the table.
- 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 data, history, metadata, and other attributes.
Answer: E
NEW QUESTION # 13
Which of the following commands will return the location of database customer360?
- A. DESCRIBE DATABASE customer360;
- B. ALTER DATABASE customer360 SET DBPROPERTIES ('location' = '/user'};
- C. DESCRIBE LOCATION customer360;
- D. DROP DATABASE customer360;
- E. USE DATABASE customer360;
Answer: A
NEW QUESTION # 14
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. DELETE FROM my_table WHERE age > 25;
- B. SELECT * FROM my_table WHERE age > 25;
- C. UPDATE my_table WHERE age <= 25;
- D. DELETE FROM my_table WHERE age <= 25;
- E. UPDATE my_table WHERE age > 25;
Answer: A
NEW QUESTION # 15
Which of the following benefits of using the Databricks Lakehouse Platform is provided by Delta Lake?
- A. The ability to set up alerts for query failures
- B. The ability to manipulate the same data using a variety of languages
- C. The ability to support batch and streaming workloads
- D. The ability to distribute complex data operations
- E. The ability to collaborate in real time on a single notebook
Answer: C
NEW QUESTION # 16
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 respond more quickly to ad-hoc requests
- B. Both teams would reorganize to report to the same department
- C. Both teams would autoscale their work as data size evolves
- D. Both teams would be able to collaborate on projects in real-time
- E. Both teams would use the same source of truth for their work
Answer: E
NEW QUESTION # 17
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 ensure the dashboard's SQL endpoint matches each of the queries' SQL endpoints.
- B. They can reduce the cluster size of the SQL endpoint.
- C. They can set up the dashboard's SQL endpoint to be serverless.
- D. They can ensure the dashboard's SQL endpoint is not one of the included query's SQL endpoint.
- E. They can turn on the Auto Stop feature for the SQL endpoint.
Answer: E
NEW QUESTION # 18
A single Job runs two notebooks as two separate tasks. A data engineer has noticed that one of the notebooks is running slowly in the Job's current run. The data engineer asks a tech lead for help in identifying why this might be the case.
Which of the following approaches can the tech lead use to identify why the notebook is running slowly as part of the Job?
- A. They can navigate to the Tasks tab in the Jobs UI to immediately review the processing notebook.
- B. They can navigate to the Tasks tab in the Jobs UI and click on the active run to review the processing notebook.
- C. They can navigate to the Runs tab in the Jobs UI to immediately review the processing notebook.
- D. They can navigate to the Runs tab in the Jobs UI and click on the active run to review the processing notebook.
- E. There is no way to determine why a Job task is running slowly.
Answer: D
NEW QUESTION # 19
Which of the following commands can be used to write data into a Delta table while avoiding the writing of duplicate records?
- A. DROP
- B. INSERT
- C. MERGE
- D. IGNORE
- E. APPEND
Answer: C
NEW QUESTION # 20
Which of the following data lakehouse features results in improved data quality over a traditional data lake?
- A. A data lakehouse provides storage solutions for structured and unstructured data.
- B. A data lakehouse supports ACID-compliant transactions.
- C. A data lakehouse stores data in open formats.
- D. A data lakehouse enables machine learning and artificial Intelligence workloads.
- E. A data lakehouse allows the use of SQL queries to examine data.
Answer: E
NEW QUESTION # 21
A data engineer has a Job with multiple tasks that runs nightly. Each of the tasks runs slowly because the clusters take a long time to start.
Which of the following actions can the data engineer perform to improve the start up time for the clusters used for the Job?
- A. They can use clusters that are from a cluster pool
- B. They can configure the clusters to be single-node
- C. They can use jobs clusters instead of all-purpose clusters
- D. They can use endpoints available in Databricks SQL
- E. They can configure the clusters to autoscale for larger data sizes
Answer: C
NEW QUESTION # 22
Which of the following describes the relationship between Bronze tables and raw data?
- A. Bronze tables contain raw data with a schema applied.
- B. Bronze tables contain a less refined view of data than raw data.
- C. Bronze tables contain more truthful data than raw data.
- D. Bronze tables contain aggregates while raw data is unaggregated.
- E. Bronze tables contain less data than raw data files.
Answer: D
NEW QUESTION # 23
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. spark.table("sales")
- B. spark.sql("sales")
- C. SELECT * FROM sales
- D. There is no way to share data between PySpark and SQL.
- E. spark.delta.table("sales")
Answer: E
NEW QUESTION # 24
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
MERGE SELECT * FROM april_transactions; - C. CREATE TABLE all_transactions AS
SELECT * FROM march_transactions
OUTER JOIN 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
UNION SELECT * FROM april_transactions;
Answer: E
NEW QUESTION # 25
A data analyst has a series of queries in a SQL program. The data analyst wants this program to run every day.
They only want the final query in the program to run on Sundays. They ask for help from the data engineering team to complete this task.
Which of the following approaches could be used by the data engineering team to complete this task?
- A. They could redesign the data model to separate the data used in the final query into a new table.
- B. They could submit a feature request with Databricks to add this functionality.
- C. They could only run the entire program on Sundays.
- D. They could wrap the queries using PySpark and use Python's control flow system to determine when to run the final query.
- E. They could automatically restrict access to the source table in the final query so that it is only accessible on Sundays.
Answer: D
NEW QUESTION # 26
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 flagged as invalid in a field added to the target dataset.
- B. Records that violate the expectation cause the job to fail.
- C. Records that violate the expectation are dropped from the target dataset and recorded as invalid in the event log.
- D. Records that violate the expectation are dropped from the target dataset and loaded into a quarantine table.
- E. Records that violate the expectation are added to the target dataset and recorded as invalid in the event log.
Answer: E
NEW QUESTION # 27
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 clone the existing task to a new Job and then edit it to run the new notebook.
- B. They can create a new job from scratch and add both tasks to run concurrently.
- 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 task in the existing Job and then add it as a dependency of the original task.
- E. They can clone the existing task in the existing Job and update it to run the new notebook.
Answer: A
NEW QUESTION # 28
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 be terminated.
- 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 persist without any processing. The compute resources will persist but go unused.
- D. All datasets will be updated at set intervals until the pipeline is shut down. The compute resources will persist to allow for additional testing.
- E. 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.
Answer: B
NEW QUESTION # 29
A data engineer runs a statement every day to copy the previous day's sales into the table transactions. Each day's sales are in their own file in the location "/transactions/raw".
Today, the data engineer runs the following command to complete this task:
After running the command today, the data engineer notices that the number of records in table transactions has not changed.
Which of the following describes why the statement might not have copied any new records into the table?
- A. The previous day's file has already been copied into the table.
- B. The format of the files to be copied were not included with the FORMAT_OPTIONS keyword.
- C. The PARQUET file format does not support COPY INTO.
- D. The names of the files to be copied were not included with the FILES keyword.
- E. The COPY INTO statement requires the table to be refreshed to view the copied rows.
Answer: A
NEW QUESTION # 30
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