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The Databricks Databricks-Certified-Data-Engineer-Associate exam covers a range of topics, including data ingestion, processing, and storage. Candidates are tested on their ability to design and implement data pipelines, data models, and data processing workflows using Databricks. Databricks is a cloud-based data platform that provides a unified analytics platform for data engineering, data science, and machine learning.
The GAQM Databricks-Certified-Data-Engineer-Associate (Databricks Certified Data Engineer Associate) Certification Exam is a professional certification program designed to assess the skills and knowledge of individuals working in the field of data engineering. Databricks Certified Data Engineer Associate Exam certification validates the ability of data engineers to design, build, and maintain data pipelines and data warehouses using Databricks technologies. Databricks-Certified-Data-Engineer-Associate Exam covers a wide range of topics, including data ingestion, data transformation, data modeling, data warehousing, and data quality.
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Databricks-Certified-Data-Engineer-Associate certification is highly regarded in the industry and is recognized by many organizations as a mark of excellence in data engineering. Databricks Certified Data Engineer Associate Exam certification can help data engineers to advance their careers and increase their earning potential. It can also help employers to identify skilled and knowledgeable data engineers who can help them to unlock the value of their data.
Databricks Certified Data Engineer Associate Exam Sample Questions (Q40-Q45):
NEW QUESTION # 40
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 maximum bound of the SQL endpoint's scaling range.
- D. They can turn on the Serverless feature for the SQL endpoint.
- E. They can increase the cluster size of the SQL endpoint.
Answer: C
Explanation:
https://community.databricks.com/t5/data-engineering/sequential-vs-concurrency-optimization-questions-from-query/td-p/36696
NEW QUESTION # 41
Which of the following describes the storage organization of a Delta table?
- A. Delta tables are stored in a single file that contains only the data stored within the table.
- B. Delta tables are stored in a collection of files that contain data, history, metadata, and other attributes.
- 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.
Answer: B
NEW QUESTION # 42
Which of the following commands can be used to write data into a Delta table while avoiding the writing of duplicate records?
- A. MERGE
- B. APPEND
- C. DROP
- D. INSERT
- E. IGNORE
Answer: A
Explanation:
Explanation
To write data into a Delta table while avoiding the writing of duplicate records, you can use the MERGE command. The MERGE command in Delta Lake allows you to combine the ability to insert new records and update existing records in a single atomic operation. The MERGE command compares the data being written with the existing data in the Delta table based on specified matching criteria, typically using a primary key or unique identifier. It then performs conditional actions, such as inserting new records or updating existing records, depending on the comparison results. By using the MERGE command, you can handle the prevention of duplicate records in a more controlled and efficient manner. It allows you to synchronize and reconcile data from different sources while avoiding duplication and ensuring data integrity.
NEW QUESTION # 43
A data engineer is running code in a Databricks Repo that is cloned from a central Git repository. A colleague of the data engineer informs them that changes have been made and synced to the central Git repository. The data engineer now needs to sync their Databricks Repo to get the changes from the central Git repository.
Which of the following Git operations does the data engineer need to run to accomplish this task?
- A. Clone
- B. Merge
- C. Commit
- D. Pull
- E. Push
Answer: D
Explanation:
To sync a Databricks Repo with the changes from a central Git repository, the data engineer needs to run the Git pull operation. This operation fetches the latest updates from the remote repository and merges them with the local repository. The data engineer can use the Pull button in the Databricks Repos UI, or use the git pull command in a terminal session. The other options are not relevant for this task, as they either push changes to the remote repository (Push), combine two branches (Merge), save changes to the local repository (Commit), or create a new local repository from a remote one (Clone). Reference:
Run Git operations on Databricks Repos
Git pull
NEW QUESTION # 44
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 ALL PRIVILEGES ON DATABASE customers TO team;
- B. GRANT USAGE ON DATABASE customers TO team;
- C. GRANT SELECT CREATE MODIFY USAGE PRIVILEGES ON DATABASE customers TO team;
- D. GRANT SELECT PRIVILEGES ON DATABASE customers TO teams;
- E. GRANT ALL PRIVILEGES ON DATABASE team TO customers;
Answer: A
NEW QUESTION # 45
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