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The GAQM Databricks-Certified-Data-Engineer-Associate (Databricks Certified Data Engineer Associate) Exam is a certification program designed to assess an individual's expertise in data engineering using Databricks. The exam is designed to test the practical knowledge and skills required to work with big data using Databricks, a cloud-based data analytics platform.
The GAQM Databricks-Certified-Data-Engineer-Associate exam is designed to validate the skills and knowledge of individuals working with the Databricks platform. This certification is a valuable asset for data engineers looking to advance their careers and demonstrate their expertise in the field of big data and analytics. The exam tests candidates on a range of skills, including data modeling, data ingestion, data processing, and data analysis.
NEW QUESTION # 20
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 collection of files that contain data, history, metadata, and other attributes.
- C. Delta tables are stored in a single file that contains 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 only the data stored within the table.
Answer: B
NEW QUESTION # 21
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 format of the files to be copied were not included with the FORMAT_OPTIONS keyword.
- B. The PARQUET file format does not support COPY INTO.
- C. The names of the files to be copied were not included with the FILES keyword.
- D. The COPY INTO statement requires the table to be refreshed to view the copied rows.
- E. The previous day's file has already been copied into the table.
Answer: E
NEW QUESTION # 22
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 USAGE ON CATALOG team TO customers;
- B. GRANT CREATE ON DATABASE team TO customers;
- C. GRANT CREATE ON DATABASE customers TO team;
- D. GRANT VIEW ON CATALOG customers TO team;
- E. GRANT USAGE ON DATABASE customers TO team;
Answer: E
NEW QUESTION # 23
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 # 24
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.
- B. They can increase the maximum bound of the SQL endpoint's scaling range.
- C. They can increase the cluster size of the SQL endpoint.
- D. They can turn on the Auto Stop feature for the SQL endpoint.
- E. They can turn on the Serverless feature for the SQL endpoint and change the Spot Instance Policy to
"Reliability Optimized."
Answer: B
NEW QUESTION # 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 clone the existing task in the existing Job and update 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 clone the existing task to a new Job and then edit it to run the new notebook.
- E. They can create a new task in the existing Job and then add it as a dependency of the original task.
Answer: D
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 custom template.
- C. They can set up an Alert with a new webhook alert destination.
- D. They can set up an Alert with one-time notifications.
- E. They can set up an Alert with a new email alert destination.
Answer: C
NEW QUESTION # 27
A data engineer needs to create a table in Databricks using data from their organization's existing SQLite database.
They run the following command:
Which of the following lines of code fills in the above blank to successfully complete the task?
- A. autoloader
- B. org.apache.spark.sql.sqlite
- C. sqlite
- D. org.apache.spark.sql.jdbc
- E. DELTA
Answer: B
NEW QUESTION # 28
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.delta.table("sales")
- B. spark.sql("sales")
- C. spark.table("sales")
- D. SELECT * FROM sales
- E. There is no way to share data between PySpark and SQL.
Answer: A
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 is wholly housed within the Databricks Lakehouse Platform
- B. Databricks Repos supports the use of multiple branches
- C. Databricks Repos provides the ability to comment on specific changes
- D. Databricks Repos allows users to revert to previous versions of a notebook
- E. Databricks Repos automatically saves development progress
Answer: B
NEW QUESTION # 30
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 Runs tab in the Jobs UI and click on the active run to review the processing notebook.
- B. There is no way to determine why a Job task is running slowly.
- C. They can navigate to the Tasks tab in the Jobs UI and click on the active run to review the processing notebook.
- D. They can navigate to the Tasks tab in the Jobs UI to immediately review the processing notebook.
- E. They can navigate to the Runs tab in the Jobs UI to immediately review the processing notebook.
Answer: A
NEW QUESTION # 31
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. MERGE
- C. INSERT
- D. IGNORE
- E. DROP
Answer: B
NEW QUESTION # 32
Which of the following tools is used by Auto Loader process data incrementally?
- A. Unity Catalog
- B. Checkpointing
- C. Spark Structured Streaming
- D. Data Explorer
- E. Databricks SQL
Answer: C
NEW QUESTION # 33
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 jobs clusters instead of all-purpose clusters
- B. They can configure the clusters to autoscale for larger data sizes
- C. They can use clusters that are from a cluster pool
- D. They can configure the clusters to be single-node
- E. They can use endpoints available in Databricks SQL
Answer: A
NEW QUESTION # 34
Which of the following describes the relationship between Gold tables and Silver tables?
- A. Gold tables are more likely to contain a less refined view of data than Silver tables.
- B. Gold tables are more likely to contain more data than Silver tables.
- C. Gold tables are more likely to contain valuable data than Silver tables.
- D. Gold tables are more likely to contain truthful data than Silver tables.
- E. Gold tables are more likely to contain aggregations than Silver tables.
Answer: A
NEW QUESTION # 35
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 VACUUM command was run on the table
- B. The OPTIMIZE command was nun on the table
- C. The TIME TRAVEL command was run on the table
- D. The HISTORY command was run on the table
- E. The DELETE HISTORY command was run on the table
Answer: E
NEW QUESTION # 36
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. Unity Catalog
- B. Data Explorer
- C. Auto Loader
- D. Delta Lake
- E. Databricks SQL
Answer: C
NEW QUESTION # 37
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