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Victoria Meisel

Databricks Certified Data Engineer Associate Exam Dumps

Databricks Certified Data Engineer Associate Certification holds great value and can greatly enhance your career prospects. To assist you in your journey towards achieving the Data Engineer Associate certification, the Passcert team has worked diligently to get the Databricks Certified Data Engineer Associate Exam Dumps which are designed to encompass all the necessary exam content, ensuring that you have all the resources at your disposal to confidently pass your exam with ease. With the help of these Databricks Certified Data Engineer Associate Exam Dumps, you can effectively prepare yourself and increase your chances of success in the certification exam.


Take Your Data Engineering Skills To The Next Level
A data engineer certification provides evidence that you possess the necessary skills for your job. Even if you are already employed in data engineering, it serves as validation of your knowledge and opens up new opportunities. Databricks allows you to prepare for both the data engineer associate and professional certifications, allowing you to enhance your current skills and acquire new ones as technology progresses. While the demand for data engineers is high, having credentials that distinguish you is still beneficial. Obtaining a data engineer certification demonstrates your dedication and effort in acquiring new skills, and it is also a rewarding achievement. Whether you are seeking a beginner-level data engineer certification or aiming for a professional data engineer certification, Databricks is there to assist you in learning the relevant skills and successfully passing the exam.

Certification Exams
- Data Engineer Associate certification
- Data Engineer Professional certification
- Databricks Certified Associate Developer for Apache Spark


About The Databricks Certified Data Engineer Associate Exam
Type: Proctored certification
Total number of questions: 45
Time limit: 90 minutes
Registration fee: $200 (Databricks partners get 50% off the registration fee)
Question types: Multiple choice
Languages: English
Delivery method: Online proctored
Prerequisites: None, but related training highly recommended
Recommended experience: 6+ months of hands-on experience performing the data engineering tasks outlined in the exam guide 
Validity period: 2 years


Databricks Certified Data Engineer Associate Exam Outline
Section 1: Databricks Lakehouse Platform

Section 2: Data Transformation with Apache Spark

Section 3: Data Management with Delta Lake

Section 4: Data Pipelines with Delta Live Tables

Section 5: Workloads with Workflows

Section 6: Data Access with Unity Catalog


Share Databricks Certified Data Engineer Associate Free Dumps
1. A data engineer needs to use a Delta table as part of a data pipeline, but they do not know if they have the appropriate permissions.
In which of the following locations can the data engineer review their permissions on the table?
A.Databricks Filesystem
B.Jobs
C.Dashboards
D.Repos
E.Data Explorer
Answer: E

2. 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.Delta Lake
C.Databricks SQL
D.Data Explorer
E.Auto Loader
Answer: E

3. Which of the following benefits is provided by the array functions from Spark SQL?
A.An ability to work with data in a variety of types at once
B.An ability to work with data within certain partitions and windows
C.An ability to work with time-related data in specified intervals
D.An ability to work with complex, nested data ingested from JSON files
E.An ability to work with an array of tables for procedural automation
Answer: D

4. A data engineer wants to create a relational object by pulling data from two tables. The relational object does not need to be used by other data engineers in other sessions. In order to save on storage costs, the data engineer wants to avoid copying and storing physical data.
Which of the following relational objects should the data engineer create?
A.Spark SQL Table
B.View
C.Database
D.Temporary view
E.Delta Table
Answer: D

5. A data engineer needs access to a table new_table, but they do not have the correct permissions. They can ask the table owner for permission, but they do not know who the table owner is.
Which of the following approaches can be used to identify the owner of new_table?
A.Review the Permissions tab in the table's page in Data Explorer
B.All of these options can be used to identify the owner of the table
C.Review the Owner field in the table's page in Data Explorer
D.Review the Owner field in the table's page in the cloud storage solution
E.There is no way to identify the owner of the table
Answer: C


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