Databricks Certified Data Engineer Associate Exam Dumps

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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 crack 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

What Is Databricks Certified Data Engineer Associate?​

The Databricks Certified Data Engineer Associate certification exam assesses an individual’s ability to use the Databricks Lakehouse Platform to complete introductory data engineering tasks. This includes an understanding of the Lakehouse Platform and its workspace, its architecture, and its capabilities. It also assesses the ability to perform multi-hop architecture ETL tasks using Apache Spark? SQL and Python in both batch and incrementally processed paradigms. Finally, the exam assesses the tester’s ability to put basic ETL pipelines and Databricks SQL queries and dashboards into production while maintaining entity permissions. Individuals who pass this certification exam can be expected to complete basic data engineering tasks using Databricks and its associated tools.

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
Recertification: Recertification is required to maintain your certification status. Databricks Certifications are valid for two years from issue date.

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