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Databricks Databricks-Certified-Data-Engineer-Associate Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Data Processing and Transformations | - Apache Spark SQL operations (joins, aggregations, filtering) - Delta Lake fundamentals (tables, transactions, optimization) - User-defined functions (UDFs) - PySpark DataFrame transformations |
| Data Governance and Quality | - Data access control and governance - Unity Catalog basics - Data quality concepts and management |
| Productionizing Data Pipelines | - Pipeline deployment and operationalization - Scheduling and monitoring jobs - Databricks Workflows / Jobs orchestration |
| Databricks Lakehouse Platform Fundamentals | - Clusters, notebooks, and basic Databricks environment usage - Workspace, architecture, and core platform concepts |
| Data Ingestion and ELT Development | - Handling structured and semi-structured data - ETL patterns and transformations - Data ingestion using Spark SQL and PySpark |
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Databricks Certified Data Engineer Associate Exam Sample Questions (Q173-Q178):
NEW QUESTION # 173
A dataset has been defined using Delta Live Tables and includes an expectations clause:
CONSTRAINT valid_timestamp EXPECT (timestamp > '2020-01-01') ON VIOLATION FAIL UPDATE What is the expected behavior when a batch of data containing data that violates these constraints is processed?
- A. Records that violate the expectation cause the job to fail.
- B. Records that violate the expectation are added to the target dataset and recorded as invalid in the event log.
- C. Records that violate the expectation are dropped from the target dataset and recorded as invalid in the event log.
- D. Records that violate the expectation are added to the target dataset and flagged as invalid in a field added to the target dataset.
Answer: C
Explanation:
The expected behavior when a batch of data containing data that violates the expectation is processed is that the job will fail. This is because the expectation clause has the ON VIOLATION FAIL UPDATE option, which means that if any record in the batch does not meet the expectation, the entire batch will be rejected and the job will fail. This option is useful for enforcing strict data quality rules and preventing invalid data from entering the target dataset.
Option A is not correct, as the ON VIOLATION FAIL UPDATE option does not drop the records that violate the expectation, but fails the entire batch. To drop the records that violate the expectation and record them as invalid in the event log, the ON VIOLATION DROP RECORD option should be used.
Option C is not correct, as the ON VIOLATION FAIL UPDATE option does not drop the records that violate the expectation, but fails the entire batch. To drop the records that violate the expectation and load them into a quarantine table, the ON VIOLATION QUARANTINE RECORD option should be used.
Option D is not correct, as the ON VIOLATION FAIL UPDATE option does not add the records that violate the expectation, but fails the entire batch. To add the records that violate the expectation and record them as invalid in the event log, the ON VIOLATION LOG RECORD option should be used.
Option E is not correct, as the ON VIOLATION FAIL UPDATE option does not add the records that violate the expectation, but fails the entire batch. To add the records that violate the expectation and flag them as invalid in a field added to the target dataset, the ON VIOLATION FLAG RECORD option should be used.
:
Delta Live Tables Expectations
[Databricks Data Engineer Professional Exam Guide]
NEW QUESTION # 174
An organization has data stored across multiple external systems, including MySQL, Amazon Redshift, and Google BigQuery. The data engineer wants to perform analytics without ingesting directly into Databricks, ensuring unified governance and minimizing data duplication. Which feature of Databricks enables querying these external data sources while maintaining centralized governance?
- A. Delta Lake
- B. Databricks Connect
- C. MLflow
- D. Lakehouse Federation
Answer: D
Explanation:
Lakehouse Federation allows Databricks to query external data sources like MySQL, Redshift, and BigQuery without moving or duplicating data, while maintaining centralized governance through Unity Catalog.
NEW QUESTION # 175
Which of the following is stored in the Databricks customer's cloud account?
- A. Notebooks
- B. Repos
- C. Cluster management metadata
- D. Data
- E. Databricks web application
Answer: D
NEW QUESTION # 176
A data engineer has been using a Databricks SQL dashboard to monitor the cleanliness of the input data to a data analytics dashboard for a retail use case. The job has a Databricks SQL query that returns the number of store-level records where sales is equal to zero. The data engineer wants their entire team to be notified via a messaging webhook whenever this value is greater than 0.
Which of the following approaches can the data engineer use to notify their entire team via a messaging webhook whenever the number of stores with $0 in sales is greater than zero?
- A. They can set up an Alert with one-time notifications.
- B. They can set up an Alert with a new email alert destination.
- C. They can set up an Alert with a new webhook alert destination.
- D. They can set up an Alert without notifications.
- E. They can set up an Alert with a custom template.
Answer: C
NEW QUESTION # 177
Which of the following commands will return the location of database customer360?
- A. DESCRIBE DATABASE customer360;
- B. DESCRIBE LOCATION customer360;
- C. USE DATABASE customer360;
- D. DROP DATABASE customer360;
- E. ALTER DATABASE customer360 SET DBPROPERTIES ('location' = '/user'};
Answer: A
Explanation:
The command DESCRIBE DATABASE customer360; will return the location of the database customer360, along with its comment and properties. This command is an alias for DESCRIBE SCHEMA customer360;, which can also be used to get the same information. The other commands will either drop the database, alter its properties, or use it as the current database, but will not return its location12. Reference:
DESCRIBE DATABASE | Databricks on AWS
DESCRIBE DATABASE - Azure Databricks - Databricks SQL
NEW QUESTION # 178
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