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| Certification Vendor: | Databricks |
|---|---|
| Exam Name: | Databricks Certified Data Engineer Associate Exam |
| Exam Number: | Databricks-Certified-Data-Engineer-Associate |
| Real Exam Qty: | 45 |
| Exam Duration: | 90 minutes |
| Available Languages: | English, Korean, Japanese, Portuguese (Brazil) |
| Passing Score: | Not publicly disclosed, approximately 70% |
| Related Certifications: | Databricks Certified Data Engineer Professional Databricks Certified Data Analyst Associate |
| Exam Price: | 200 USD |
| Certificate Validity Period: | 2 years |
| Exam Format: | Proctored, Multiple choice |
| Recommended Training: | Databricks Academy - Data Engineer Associate Learning Path Databricks Documentation |
| Exam Registration: | Official Registration |
| Sample Questions: | Databricks Databricks-Certified-Data-Engineer-Associate Sample Questions |
| Exam Way: | Online proctored or in-person at authorized test centers |
| Pre Condition: | No mandatory prerequisites; 6+ months hands-on experience with Databricks and data engineering tasks recommended |
| Official Syllabus URL: | https://www.databricks.com/learn/certification/data-engineer-associate |
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NEW QUESTION # 272
A data engineer is configuring Delta Sharing for a multi-team project where teams from different departments will need to access shared data. The data engineer has successfully created a Unity Catalog metastore and is now setting up the Delta Share. The goal is to ensure that internal teams can access the shared data with full permissions, while external partners can only read the data. Which action should the Data Engineer take to configure the sharing correctly?
Answer: C
Explanation:
In Delta Sharing, permissions must be managed separately for each recipient. To achieve the goal, the data engineer should create the Delta Share, add the appropriate tables/views, assign READ permissions to external partners, and assign READ/WRITE permissions to internal teams.
This ensures external users only consume data, while internal teams can both read and modify it.
NEW QUESTION # 273
A data engineer has created a new database using the following command:
CREATE DATABASE IF NOT EXISTS customer360;
In which of the following locations will the customer360 database be located?
Answer: B
NEW QUESTION # 274
A data engineer is tasked with cleaning a bronze table. The requirement is to eliminate rows where either the customer_email or the customer_phone field is null. This data cleaning must be performed in a single operation using a single method call. Which PySpark approach supports filtering multiple columns for nulls in one call?
Answer: A
Explanation:
df.dropna(subset=['customer_email', 'customer_phone']) uses one method call and, by default, removes rows where either specified column is null.
NEW QUESTION # 275
A data engineer needs to provide access to a group named manufacturing-team. The team needs privileges to create tables in the quality schema.
Which set of SQL commands will grant a group named manufacturing-team to create tables in a schema named production with the parent catalog named manufacturing with the least privileges?
Answer: A
NEW QUESTION # 276
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?
Answer: D
NEW QUESTION # 277
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