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| Certification Vendor: | Databricks |
|---|---|
| Exam Name: | Databricks Certified Data Engineer Associate Exam |
| Exam Number: | Databricks-Certified-Data-Engineer-Associate |
| Exam Format: | Proctored, Multiple choice |
| Exam Price: | 200 USD |
| Related Certifications: | Databricks Certified Data Analyst Associate Databricks Certified Data Engineer Professional |
| Real Exam Qty: | 45 |
| Passing Score: | Not publicly disclosed, approximately 70% |
| Exam Duration: | 90 minutes |
| Available Languages: | Portuguese (Brazil), Japanese, Korean, English |
| Certificate Validity Period: | 2 years |
| Recommended Training: | Databricks Documentation Databricks Academy - Data Engineer Associate Learning Path |
| 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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Databricks Certified Data Engineer Associate certification is designed to help professionals stay up-to-date with the latest data engineering trends and technologies. Databricks Certified Data Engineer Associate Exam certification exam is regularly updated to ensure that it reflects the latest developments in the field of data engineering. By earning this certification, professionals can demonstrate their commitment to professional development and their dedication to staying current in their field.
NEW QUESTION # 277
In order for Structured Streaming to reliably track the exact progress of the processing so that it can handle any kind of failure by restarting and/or reprocessing, which of the following two approaches is used by Spark to record the offset range of the data being processed in each trigger?
Answer: A
NEW QUESTION # 278
A data engineer has been using a Databricks SQL dashboard to monitor the cleanliness of the input data to an ELT job. The ELT job has its Databricks SQL query that returns the number of input records containing unexpected NULL values. The data engineer wants their entire team to be notified via a messaging webhook whenever this value reaches 100.
Which of the following approaches can the data engineer use to notify their entire team via a messaging webhook whenever the number of NULL values reaches 100?
Answer: E
Explanation:
Explanation
To achieve this, the data engineer can set up an Alert in the Databricks workspace that triggers when the query results exceed the threshold of 100 NULL values. They can create a new webhook alert destination in the Alert's configuration settings and provide the necessary messaging webhook URL to receive notifications.
When the Alert is triggered, it will send a message to the configured webhook URL, which will then notify the entire team of the issue.
NEW QUESTION # 279
Which of the following approaches should be used to send the Databricks Job owner an email in the case that the Job fails?
Answer: B
NEW QUESTION # 280
A data engineering team is designing the Gold layer in their Unity Catalog-governed lakehouse for downstream BI and analytics users. The team wants to expose business-ready metrics with fast query performance and consistent definitions, while keeping the transformation logic in Spark notebooks. Which type of Gold layer object meets this requirement?
Answer: A
Explanation:
A materialized view stores precomputed Gold-layer aggregations, providing BI tools with fast queries and centrally defined, consistent business results while allowing the transformation logic to remain in Databricks notebooks.
NEW QUESTION # 281
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: D
Explanation:
dbfs:/user/hive/warehouse Thereby showing "dbfs:/user/hive/warehouse/customer360.db The location of the customer360 database depends on the value of the spark.sql.warehouse.dir configuration property, which specifies the default location for managed databases and tables. If the property is not set, the default value is dbfs:/user/hive/warehouse. Therefore, the customer360 database will be located in dbfs:/user/hive/warehouse/customer360.db. However, if the property is set to a different value, such as dbfs:/user/hive/database, then the customer360 database will be located in dbfs:/user/hive/database/customer360.db. Thus, more information is needed to determine the correct response.
Option A is not correct, as dbfs:/user/hive/database/customer360 is not the default location for managed databases and tables, unless the spark.sql.warehouse.dir property is explicitly set to dbfs:/user/hive/database.
Option B is not correct, as dbfs:/user/hive/warehouse is the default location for the root directory of managed databases and tables, not for a specific database. The database name should be appended with .db to the directory path, such as dbfs:/user/hive/warehouse/customer360.db.
Option C is not correct, as dbfs:/user/hive/customer360 is not a valid location for a managed database, as it does not follow the directory structure specified by the spark.sql.warehouse.dir property.
References:
* Databases and Tables
* [Databricks Data Engineer Professional Exam Guide]
NEW QUESTION # 282
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