Oct 25, 2024 Databricks-Certified-Data-Engineer-Associate Exam Crack Test Engine Dumps Training With 102 Questions
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The GAQM Databricks-Certified-Data-Engineer-Associate (Databricks Certified Data Engineer Associate) Exam is a professional certification exam designed to measure the knowledge, skills, and abilities of data engineers who work with Databricks. Databricks is a cloud-based big data processing and analytics platform that is used by organizations of all sizes to manage large volumes of data and gain valuable insights. Databricks-Certified-Data-Engineer-Associate exam is intended for data engineers who are responsible for designing, building, and maintaining data pipelines, data lakes, and data warehouses using Databricks.
Databricks Certified Data Engineer Associate certification is a vendor-neutral certification, which means that it is not tied to any specific technology or vendor. This makes it an excellent certification for professionals who want to work with a variety of data engineering tools and technologies.
NEW QUESTION # 16
A data engineer needs to create a table in Databricks using data from a CSV file at location /path/to/csv.
They run the following command:
Which of the following lines of code fills in the above blank to successfully complete the task?
- A. FROM CSV
- B. FROM "path/to/csv"
- C. None of these lines of code are needed to successfully complete the task
- D. USING DELTA
- E. USING CSV
Answer: E
NEW QUESTION # 17
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 with a new webhook alert destination.
- B. They can set up an Alert with a custom template.
- C. They can set up an Alert with a new email alert destination.
- D. They can set up an Alert with one-time notifications.
- E. They can set up an Alert without notifications.
Answer: A
NEW QUESTION # 18
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 set up the dashboard's SQL endpoint to be serverless.
- B. They can ensure the dashboard's SQL endpoint is not one of the included query's SQL endpoint.
- C. They can turn on the Auto Stop feature for the SQL endpoint.
- D. They can reduce the cluster size of the SQL endpoint.
- E. They can ensure the dashboard's SQL endpoint matches each of the queries' SQL endpoints.
Answer: A
Explanation:
A serverless SQL endpoint is a compute resource that is automatically managed by Databricks and scales up or down based on the workload. A serverless SQL endpoint can be used to run queries and dashboards without requiring manual configuration or management. A serverless SQL endpoint is only active when it is needed and shuts down automatically when idle, minimizing the total running time and cost. A serverless SQL endpoint can be created and assigned to a dashboard using the Databricks SQL UI or the SQL Analytics API. Reference:
Create a serverless SQL endpoint
Assign a SQL endpoint to a dashboard
SQL Analytics API
NEW QUESTION # 19
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 allows users to revert to previous versions of a notebook
- 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 supports the use of multiple branches
Answer: E
Explanation:
Databricks Repos is a visual Git client and API in Databricks that supports common Git operations such as cloning, committing, pushing, pulling, and branch management. Databricks Notebooks versioning is a legacy feature that allows users to link notebooks to GitHub repositories and perform basic Git operations. However, Databricks Notebooks versioning does not support the use of multiple branches for development work, which is an advantage of using Databricks Repos. With Databricks Repos, users can create and manage branches for different features, experiments, or bug fixes, and merge, rebase, or resolve conflicts between them. Databricks recommends using a separate branch for each notebook and following data science and engineering code development best practices using Git for version control, collaboration, and CI/CD. References: Git integration with Databricks Repos - Azure Databricks | Microsoft Learn, Git version control for notebooks (legacy) | Databricks on AWS, Databricks Repos Is Now Generally Available - New 'Files' Feature in ..., Databricks Repos - What it is and how we can use it | Adatis.
NEW QUESTION # 20
In which of the following scenarios should a data engineer select a Task in the Depends On field of a new Databricks Job Task?
- A. When another task needs to successfully complete before the new task begins
- B. When another task needs to use as little compute resources as possible
- C. When another task needs to be replaced by the new task
- D. When another task needs to fail before the new task begins
- E. When another task has the same dependency libraries as the new task
Answer: A
NEW QUESTION # 21
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. New lead data engineer
- C. This transfer is not possible
- D. Databricks account representative
- E. Workspace administrator
Answer: E
Explanation:
The workspace administrator is the only individual who can transfer ownership of the Delta tables in Data Explorer, assuming the original data engineer no longer has access. The workspace administrator has the highest level of permissions in the workspace and can manage all resources, users, and groups. The other options are either not possible or not sufficient to perform the ownership transfer. The Databricks account representative is not involved in the workspace management. The transfer is possible and not dependent on the original data engineer. The new lead data engineer may not have the necessary permissions to access or modify the Delta tables, unless granted by the workspace administrator or the original data engineer before leaving. References: Workspace access control, Manage Unity Catalog object ownership.
NEW QUESTION # 22
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. New lead data engineer
- C. This transfer is not possible
- D. Databricks account representative
- E. Workspace administrator
Answer: E
Explanation:
The workspace administrator is the only individual who can transfer ownership of the Delta tables in Data Explorer, assuming the original data engineer no longer has access. The workspace administrator has the highest level of permissions in the workspace and can manage all resources, users, and groups. The other options are either not possible or not sufficient to perform the ownership transfer. The Databricks account representative is not involved in the workspace management. The transfer is possible and not dependent on the original data engineer. The new lead data engineer may not have the necessary permissions to access or modify the Delta tables, unless granted by the workspace administrator or the original data engineer before leaving. Reference: Workspace access control, Manage Unity Catalog object ownership.
NEW QUESTION # 23
Which of the following Structured Streaming queries is performing a hop from a Silver table to a Gold table?
- A.
- B.
- C.
- D.
- E.
Answer: C
NEW QUESTION # 24
A data engineer that is new to using Python needs to create a Python function to add two integers together and return the sum?
Which of the following code blocks can the data engineer use to complete this task?
- A.
- B.
- C.
- D.
- E.
Answer: A
Explanation:
https://www.w3schools.com/python/python_functions.asp
https://www.geeksforgeeks.org/python-functions/
NEW QUESTION # 25
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: D
Explanation:
https://www.databricks.com/blog/2021/10/20/introducing-sql-user-defined-functions.html
NEW QUESTION # 26
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:
- D. if day_of_week = 1 & review_period: = "True":
- E. if day_of_week == 1 and review_period == "True":
Answer: E
NEW QUESTION # 27
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 DATABASE customers TO team;
- B. GRANT USAGE ON CATALOG team TO customers;
- C. GRANT CREATE ON DATABASE customers TO team;
- D. GRANT VIEW ON CATALOG customers TO team;
- E. GRANT CREATE ON DATABASE team TO customers;
Answer: A
NEW QUESTION # 28
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 refreshed as quickly as possible.
- B. An automated report needs to be runnable by all stakeholders.
- C. An automated report needs to be made reproducible.
- D. An automated report needs to be version-controlled across multiple collaborators.
- E. An automated report needs to be tested to identify errors.
Answer: A
Explanation:
Databricks cluster pools are a set of idle, ready-to-use instances that can reduce cluster start and auto-scaling times. This is useful for scenarios where a data team needs to run an automated report as quickly as possible, without waiting for the cluster to launch or scale up. Cluster pools can also help save costs by reusing idle instances across different clusters and avoiding DBU charges for idle instances in the pool. Reference: Best practices: pools | Databricks on AWS, Best practices: pools - Azure Databricks | Microsoft Learn, Best practices: pools | Databricks on Google Cloud
NEW QUESTION # 29
In which of the following scenarios should a data engineer use the MERGE INTO command instead of the INSERT INTO command?
- A. When the source table can be deleted
- B. When the location of the data needs to be changed
- C. When the target table cannot contain duplicate records
- D. When the source is not a Delta table
- E. When the target table is an external table
Answer: C
Explanation:
Explanation
With merge , you can avoid inserting the duplicate records. The dataset containing the new logs needs to be deduplicated within itself. By the SQL semantics of merge, it matches and deduplicates the new data with the existing data in the table, but if there is duplicate data within the new dataset, it is inserted.https://docs.databricks.com/en/delta/merge.html#:~:text=With%20merge%20%2C%20you%20can%20a
NEW QUESTION # 30
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 set up the dashboard's SQL endpoint to be serverless.
- C. They can reduce the cluster size of the SQL endpoint.
- 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 # 31
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Databricks Certified Data Engineer Associate certification is a highly sought-after certification in the data engineering industry. Databricks Certified Data Engineer Associate Exam certification demonstrates that a candidate has the knowledge and skills required to design and build data pipelines using Databricks. Databricks Certified Data Engineer Associate Exam certification is recognized globally and is highly valued by employers in various industries.
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