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NEW QUESTION # 16
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. Structured Streaming cannot record the offset range of the data being processed in each trigger.
- B. Checkpointing and Write-ahead Logs
- C. Write-ahead Logs and Idempotent Sinks
- D. Replayable Sources and Idempotent Sinks
- E. Checkpointing and Idempotent Sinks
Answer: E
NEW QUESTION # 17
Which of the following benefits is provided by the array functions from Spark SQL?
- A. An ability to work with data within certain partitions and windows
- B. An ability to work with complex, nested data ingested from JSON files
- C. An ability to work with data in a variety of types at once
- D. An ability to work with time-related data in specified intervals
- E. An ability to work with an array of tables for procedural automation
Answer: A
NEW QUESTION # 18
Which of the following describes a scenario in which a data team will want to utilize cluster pools?
- A. An automated report needs to be made reproducible.
- B. An automated report needs to be tested to identify errors.
- C. An automated report needs to be version-controlled across multiple collaborators.
- D. An automated report needs to be refreshed as quickly as possible.
- E. An automated report needs to be runnable by all stakeholders.
Answer: E
NEW QUESTION # 19
Which of the following benefits of using the Databricks Lakehouse Platform is provided by Delta Lake?
- A. The ability to collaborate in real time on a single notebook
- B. The ability to set up alerts for query failures
- C. The ability to manipulate the same data using a variety of languages
- D. The ability to distribute complex data operations
- E. The ability to support batch and streaming workloads
Answer: E
NEW QUESTION # 20
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 submit a feature request with Databricks to add this functionality.
- B. They could redesign the data model to separate the data used in the final query into a new table.
- C. They could wrap the queries using PySpark and use Python's control flow system to determine when to run the final query.
- D. They could automatically restrict access to the source table in the final query so that it is only accessible on Sundays.
- E. They could only run the entire program on Sundays.
Answer: C
NEW QUESTION # 21
A data engineer has configured a Structured Streaming job to read from a table, manipulate the data, and then perform a streaming write into a new table.
The cade block used by the data engineer is below:
If the data engineer only wants the query to execute a micro-batch to process data every 5 seconds, which of the following lines of code should the data engineer use to fill in the blank?
- A. trigger(processingTime="5 seconds")
- B. trigger("5 seconds")
- C. trigger(continuous="5 seconds")
- D. trigger()
- E. trigger(once="5 seconds")
Answer: A
NEW QUESTION # 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. TBLPROPERTIES PII
- B. COMMENT "Contains PII"
- C. PII
- D. "COMMENT PII"
- E. There is no way to indicate whether a table contains PII.
Answer: A
NEW QUESTION # 23
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 and review_period:
- C. if day_of_week = 1 and review_period = "True":
- D. if day_of_week = 1 and review_period:
- E. if day_of_week = 1 & review_period: = "True":
Answer: A
NEW QUESTION # 24
A data engineer has left the organization. The data team needs to transfer ownership of the data engineer's Delta tables to a new data engineer. The new data engineer is the lead engineer on the data team.
Assuming the original data engineer no longer has access, which of the following individuals must be the one to transfer ownership of the Delta tables in Data Explorer?
- A. Original data engineer
- B. Workspace administrator
- C. New lead data engineer
- D. Databricks account representative
- E. This transfer is not possible
Answer: C
NEW QUESTION # 25
Which of the following describes the relationship between Gold tables and Silver tables?
- A. Gold tables are more likely to contain truthful data than Silver tables.
- B. Gold tables are more likely to contain a less refined view of data than Silver tables.
- C. Gold tables are more likely to contain more data than Silver tables.
- D. Gold tables are more likely to contain valuable data than Silver tables.
- E. Gold tables are more likely to contain aggregations than Silver tables.
Answer: B
NEW QUESTION # 26
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
UNION SELECT * FROM april_transactions; - B. CREATE TABLE all_transactions AS
SELECT * FROM march_transactions
INTERSECT SELECT * from april_transactions; - C. CREATE TABLE all_transactions AS
SELECT * FROM march_transactions
INNER JOIN SELECT * FROM april_transactions; - D. CREATE TABLE all_transactions AS
SELECT * FROM march_transactions
MERGE SELECT * FROM april_transactions; - E. CREATE TABLE all_transactions AS
SELECT * FROM march_transactions
OUTER JOIN SELECT * FROM april_transactions;
Answer: A
NEW QUESTION # 27
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 enables machine learning and artificial Intelligence workloads.
- C. A data lakehouse stores data in open formats.
- D. A data lakehouse allows the use of SQL queries to examine data.
- E. A data lakehouse supports ACID-compliant transactions.
Answer: D
NEW QUESTION # 28
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 is not one of the included query's SQL endpoint.
- 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 matches each of the queries' SQL endpoints.
- E. They can turn on the Auto Stop feature for the SQL endpoint.
Answer: E
NEW QUESTION # 29
A data engineer needs to determine whether to use the built-in Databricks Notebooks versioning or version their project using Databricks Repos.
Which of the following is an advantage of using Databricks Repos over the Databricks Notebooks versioning?
- A. Databricks Repos supports the use of multiple branches
- B. Databricks Repos automatically saves development progress
- C. Databricks Repos is wholly housed within the Databricks Lakehouse Platform
- D. Databricks Repos provides the ability to comment on specific changes
- E. Databricks Repos allows users to revert to previous versions of a notebook
Answer: A
NEW QUESTION # 30
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 COPY INTO statement requires the table to be refreshed to view the copied rows.
- 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 format of the files to be copied were not included with the FORMAT_OPTIONS keyword.
Answer: A
NEW QUESTION # 31
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 CREATE ON DATABASE customers TO team;
- B. GRANT VIEW ON CATALOG customers TO team;
- C. GRANT USAGE ON CATALOG team TO customers;
- D. GRANT USAGE ON DATABASE customers TO team;
- E. GRANT CREATE ON DATABASE team TO customers;
Answer: D
NEW QUESTION # 32
Which of the following is hosted completely in the control plane of the classic Databricks architecture?
- A. JDBC data source
- B. Driver node
- C. Databricks web application
- D. Worker node
- E. Databricks Filesystem
Answer: B
NEW QUESTION # 33
Which of the following describes when to use the CREATE STREAMING LIVE TABLE (formerly CREATE INCREMENTAL LIVE TABLE) syntax over the CREATE LIVE TABLE syntax when creating Delta Live Tables (DLT) tables using SQL?
- A. CREATE STREAMING LIVE TABLE should be used when the previous step in the DLT pipeline is static.
- B. CREATE STREAMING LIVE TABLE should be used when data needs to be processed through complicated aggregations.
- C. CREATE STREAMING LIVE TABLE is redundant for DLT and it does not need to be used.
- D. CREATE STREAMING LIVE TABLE should be used when data needs to be processed incrementally.
- E. CREATE STREAMING LIVE TABLE should be used when the subsequent step in the DLT pipeline is static.
Answer: D
NEW QUESTION # 34
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