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Databricks Databricks-Certified-Data-Engineer-Professional Exam Syllabus Topics:

SectionObjectives
Topic 1: Production Pipelines and Orchestration- Databricks Workflows
- Error handling and recovery strategies
- Job scheduling and monitoring
Topic 2: Data Modeling and Transformation- Spark SQL transformations
- Dimensional modeling concepts
- Performance optimization techniques
Topic 3: Databricks Lakehouse Platform Architecture- Data governance concepts (Unity Catalog basics)
- Workspace and cluster architecture
- Medallion architecture (Bronze, Silver, Gold)
Topic 4: Delta Lake and Data Management- Time travel and versioning
- Delta Lake transactions and ACID properties
- Schema evolution and enforcement
Topic 5: Data Ingestion and Processing- Batch and streaming ingestion with Auto Loader
- ETL pipeline design patterns
- Structured Streaming fundamentals

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Databricks Certified Data Engineer Professional Exam Sample Questions (Q160-Q165):

NEW QUESTION # 160
A junior data engineer has configured a workload that posts the following JSON to the Databricks REST API endpoint 2.0/jobs/create.

Assuming that all configurations and referenced resources are available, which statement describes the result of executing this workload three times?

Answer: E

Explanation:
Databricks jobs create will create a new job with the same name each time it is run.
In order to overwrite the extsting job you need to run databricks jobs reset


NEW QUESTION # 161
A data engineering team is setting up a Git project to automate integration tests using Databricks Asset Bundles and the Git provider's CI/CD functionalities. When a pull containing changes to their pipleline is sent, they need to run a Job to test their data pipeline. What is the correct databricks bundle command sequence to be executed from the Git provider's CI/CD automation for this task?

Answer: C

Explanation:
The correct sequence is to first validate the bundle to ensure the configuration is correct, then deploy it to provision or update the defined resources, and finally run the job to execute the integration tests. This aligns with CI/CD best practices by catching configuration issues early and only running tests after a successful deployment.


NEW QUESTION # 162
In order to facilitate near real-time workloads, a data engineer is creating a helper function to Get Latest & Actual Certified-Data-Engineer-Professional Exam's Question and Answers from leverage the schema detection and evolution functionality of Databricks Auto Loader. The desired function will automatically detect the schema of the source directly, incrementally process JSON files as they arrive in a source directory, and automatically evolve the schema of the table when new fields are detected.
The function is displayed below with a blank:

Which response correctly fills in the blank to meet the specified requirements?

Answer: A

Explanation:
https://docs.databricks.com/en/ingestion/auto-loader/schema.html


NEW QUESTION # 163
A CHECK constraint has been successfully added to the Delta table named activity_details using the following logic:

A batch job is attempting to insert new records to the table, including a record where latitude =
45.50 and longitude = 212.67.
Which statement describes the outcome of this batch insert?

Answer: A

Explanation:
The CHECK constraint is used to ensure that the data inserted into the table meets the specified conditions. In this case, the CHECK constraint is used to ensure that the latitude and longitude values are within the specified range. If the data does not meet the specified conditions, the write operation will fail completely and no records will be inserted into the target table. This is because Delta Lake supports ACID transactions, which means that either all the data is written or none of it is written. Therefore, the batch insert will fail when it encounters a record that violates the Get Latest & Actual Certified-Data-Engineer-Professional Exam's Question and Answers from constraint, and the target table will not be updated.


NEW QUESTION # 164
Which statement describes a key benefit of an end-to-end test?

Answer: D

Explanation:
End-to-end testing is a methodology used to test whether the flow of an application, from start to finish, behaves as expected. The key benefit of an end-to-end test is that it closely simulates real- world, user behavior, ensuring that the system as a whole operates correctly.
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NEW QUESTION # 165
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