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Databricks-Certified-Data-Engineer-Associate Exam Questions - Databricks Certified Data Engineer Associate Exam Exam Cram & Databricks-Certified-Data-Engineer-Associate Test Guide
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The Databricks Databricks-Certified-Data-Engineer-Associate exam is conducted online and consists of 80 multiple-choice questions. The duration of the exam is 2 hours, and candidates must achieve a minimum score of 60% to pass. Databricks-Certified-Data-Engineer-Associate exam fee is $300, and candidates can schedule their exam at any time through the GAQM website. Databricks Certified Data Engineer Associate Exam certification is valid for three years and can be renewed by passing the latest version of the exam.
The GAQM Databricks-Certified-Data-Engineer-Associate exam is a rigorous and challenging certification that requires candidates to have a strong foundation in data engineering principles and practices. It is recommended that candidates have at least 2-3 years of experience working with big data technologies before attempting the exam. However, there are training courses and study materials available to help candidates prepare for the exam and gain the necessary skills and knowledge.
The GAQM Databricks-Certified-Data-Engineer-Associate (Databricks Certified Data Engineer Associate) Exam is a certification that is designed to test the skills and knowledge of data engineers who work with Databricks. Data engineers play a critical role in any organization that relies on data to make decisions. They are responsible for the design, construction, and maintenance of data pipelines, data models, and data warehouses.
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Databricks Certified Data Engineer Associate Exam Sample Questions (Q48-Q53):
NEW QUESTION # 48
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 increase the cluster size of the SQL endpoint.
- B. They can increase the maximum bound of the SQL endpoint's scaling range.
- C. They can turn on the Auto Stop feature for the SQL endpoint.
- D. They can turn on the Serverless feature for the SQL endpoint and change the Spot Instance Policy to
"Reliability Optimized." - E. They can turn on the Serverless feature for the SQL endpoint.
Answer: A
Explanation:
Explanation
When many users are running small queries simultaneously on a SQL endpoint, the database can become overloaded, causing slow query execution times. By increasing the cluster size of the SQL endpoint, the database can handle more simultaneous queries, resulting in faster query execution times.
NEW QUESTION # 49
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 task in the existing Job and then add the original task as a dependency of the new task.
- C. They can clone the existing task to a new Job and then edit it to run the new notebook.
- D. They can create a new job from scratch and add both tasks to run concurrently.
- E. They can create a new task in the existing Job and then add it as a dependency of the original task.
Answer: E
Explanation:
Explanation
To set up the new task to run a new notebook prior to the original task in a single-task Job, the data engineer can use the following approach: In the existing Job, create a new task that corresponds to the new notebook that needs to be run. Set up the new task with the appropriate configuration, specifying the notebook to be executed and any necessary parameters or dependencies. Once the new task is created, designate it as a dependency of the original task in the Job configuration. This ensures that the new task is executed before the original task.
NEW QUESTION # 50
A data engineer is working with two tables. Each of these tables is displayed below in its entirety.
The data engineer runs the following query to join these tables together:
Which of the following will be returned by the above query?
- A. Option C
- B. Option E
- C. Option B
- D. Option A
- E. Option D
Answer: A
NEW QUESTION # 51
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.delta.table("sales")
- C. spark.sql("sales")
- D. SELECT * FROM sales
- E. There is no way to share data between PySpark and SQL.
Answer: A
Explanation:
The data engineering team can use the spark.table method to access the Delta table sales in PySpark. This method returns a DataFrame representation of the Delta table, which can be used for further processing or testing. The spark.table method works for any table that is registered in the Hive metastore or the Spark catalog, regardless of the file format1. Alternatively, the data engineering team can also use the DeltaTable.forPath method to load the Delta table from its path2. Reference: 1: SparkSession | PySpark 3.2.0 documentation 2: Welcome to Delta Lake's Python documentation page - delta-spark 2.4.0 documentation
NEW QUESTION # 52
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: B
Explanation:
https://www.w3schools.com/python/python_functions.asp
https://www.geeksforgeeks.org/python-functions/
NEW QUESTION # 53
......
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