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| Certification Vendor: | Databricks |
|---|---|
| Exam Name: | Databricks Certified Data Engineer Associate Exam |
| Exam Number: | DE-A |
| Exam Duration: | 90 minutes |
| Passing Score: | Approximately ~70% (not officially fixed/publicly guaranteed) |
| Exam Format: | Scenario-based questions, Proctored online or test center, Multiple-choice |
| Exam Price: | USD 200 |
| Available Languages: | English |
| Real Exam Qty: | 45 scored multiple-choice questions |
| Certificate Validity Period: | 2 years |
| Related Certifications: | Databricks Certified Data Engineer Professional |
| Recommended Training: | Databricks Data Engineering Learning Path (Databricks Academy) Official Data Engineering with Databricks Course |
| Exam Registration: | Databricks Certification Portal |
| Sample Questions: | Databricks Databricks-Certified-Data-Engineer-Associate Sample Questions |
| Exam Way: | Online proctored exam or test center |
| Pre Condition: | No formal prerequisites required; recommended ~6 months hands-on experience with Databricks, Spark SQL, and PySpark. |
| Official Syllabus URL: | https://www.databricks.com/learn/certification/data-engineer-associate |
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Databricks Certified Data Engineer Associate Exam is a valuable certification for individuals who are looking to demonstrate their proficiency in data engineering using Databricks. Databricks Certified Data Engineer Associate Exam certification is recognized globally and is a testament to an individual's skills and knowledge in the field of data engineering. Databricks Certified Data Engineer Associate Exam certification can open up new career opportunities, increase earning potential, and enhance an individual's credibility as a data engineer.
NEW QUESTION # 309
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?
Answer: E
Explanation:
Explanation
https://www.databricks.com/blog/2021/10/20/introducing-sql-user-defined-functions.html
NEW QUESTION # 310
Which SQL code snippet will correctly demonstrate a Data Definition Language (DDL) operation used to create a table?
Answer: C
Explanation:
CREATE TABLE employees (...) is a Data Definition Language (DDL) operation that defines a new table and its schema.
NEW QUESTION # 311
A data engineer is attempting to drop a Spark SQL table my_table and runs the following command:
DROP TABLE IF EXISTS my_table;
After running this command, the engineer notices that the data files and metadata files have been deleted from the file system.
Which of the following describes why all of these files were deleted?
Answer: E
Explanation:
The reason why all of the data files and metadata files were deleted from the file system after dropping the table is that the table was managed. A managed table is a table that is created and managed by Spark SQL. It stores both the data and the metadata in the default location specified by the spark.sql.warehouse.dir configuration property. When a managed table is dropped, both the data and the metadata are deleted from the file system.
Option B is not correct, as the size of the table's data does not affect the behavior of dropping the table. Whether the table's data is smaller or larger than 10 GB, the data files and metadata files will be deleted if the table is managed, and will be preserved if the table is external.
Option C is not correct, for the same reason as option B.
Option D is not correct, as an external table is a table that is created and managed by the user. It stores the data in a user-specified location, and only stores the metadata in the Spark SQL catalog. When an external table is dropped, only the metadata is deleted from the catalog, but the data files are preserved in the file system.
Option E is not correct, as a table must have a location to store the data. If the location is not specified by the user, it will use the default location for managed tables. Therefore, a table without a location is a managed table, and dropping it will delete both the data and the metadata.
Reference:
Managing Tables
[Databricks Data Engineer Professional Exam Guide]
NEW QUESTION # 312
A data engineer is developing a small proof of concept in a notebook. When running the entire notebook, the Cluster usage spikes. The data engineer wants to keep the development requirements and get real-time results. Which Cluster meets these requirements?
Answer: B
Explanation:
An All-Purpose Cluster with autoscaling is best for interactive development and proof of concept work in notebooks, since it provides real-time results and can dynamically scale resources as usage spikes.
NEW QUESTION # 313
Which of the following Structured Streaming queries is performing a hop from a Silver table to a Gold table?
Answer: B
NEW QUESTION # 314
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