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

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

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Databricks Databricks-Certified-Data-Engineer-Professional試験勉強過去問、Databricks-Certified-Data-Engineer-Professionalテスト対策書

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Databricks Certified Data Engineer Professional Exam 認定 Databricks-Certified-Data-Engineer-Professional 試験問題 (Q112-Q117):

質問 # 112
The downstream consumers of a Delta Lake table have been complaining about data quality issues impacting performance in their applications. Specifically, they have complained that invalid latitude and longitude values in the activity_details table have been breaking their ability to use other geolocation processes.
A junior engineer has written the following code to add CHECK constraints to the Delta Lake table:

A senior engineer has confirmed the above logic is correct and the valid ranges for latitude and longitude are provided, but the code fails when executed.
Which statement explains the cause of this failure?

A. The activity details table already contains records that violate the constraints; all existing data must pass CHECK constraints in order to add them to an existing table.
B. The activity details table already contains records; CHECK constraints can only be added prior to inserting values into a table.
C. The current table schema does not contain the field valid coordinates; schema evolution will need Get Latest & Actual Certified-Data-Engineer-Professional Exam's Question and Answers from to be enabled before altering the table to add a constraint.
D. The activity details table already exists; CHECK constraints can only be added during initial table creation.
E. Because another team uses this table to support a frequently running application, two-phase locking is preventing the operation from committing.

正解：A

解説：
The failure is that the code to add CHECK constraints to the Delta Lake table fails when executed. The code uses ALTER TABLE ADD CONSTRAINT commands to add two CHECK constraints to a table named activity_details. The first constraint checks if the latitude value is between -90 and 90, and the second constraint checks if the longitude value is between -180 and
180. The cause of this failure is that the activity_details table already contains records that violate these constraints, meaning that they have invalid latitude or longitude values outside of these ranges. When adding CHECK constraints to an existing table, Delta Lake verifies that all existing data satisfies the constraints before adding them to the table. If any record violates the constraints, Delta Lake throws an exception and aborts the operation.

質問 # 113
Which REST API call can be used to review the notebooks configured to run as tasks in a multi- task job?

A. /jobs/get
B. /jobs/runs/get-output
C. /jobs/runs/get
D. /jobs/list
E. /jobs/runs/list

正解：A

解説：
https://docs.databricks.com/api/workspace/jobs/getresponses/settings/tasks/notebook_task/noteb ook_path

質問 # 114
A table named user_ltv is being used to create a view that will be used by data analysts on Get Latest & Actual Certified-Data-Engineer-Professional Exam's Question and Answers from various teams. Users in the workspace are configured into groups, which are used for setting up data access using ACLs.
The user_ltv table has the following schema:
email STRING, age INT, ltv INT
The following view definition is executed:

An analyst who is not a member of the marketing group executes the following query:
SELECT * FROM email_ltv
Which statement describes the results returned by this query?

A. The email and ltv columns will be returned with the values in user itv.
B. Three columns will be returned, but one column will be named "redacted" and contain only null values.
C. The email, age. and ltv columns will be returned with the values in user ltv.
D. Only the email and ltv columns will be returned; the email column will contain the string
"REDACTED" in each row.
E. Only the email and itv columns will be returned; the email column will contain all null values.

正解：D

解説：
The code creates a view called email_ltv that selects the email and ltv columns from a table called user_ltv, which has the following schema: email STRING, age INT, ltv INT. The code also uses the CASE WHEN expression to replace the email values with the string "REDACTED" if the user is not a member of the marketing group. The user who executes the query is not a member of the marketing group, so they will only see the email and ltv columns, and the email column will contain the string "REDACTED" in each row.

質問 # 115
Which statement describes integration testing?

A. Validates an application use case
B. Requires an automated testing framework
C. Validates interactions between subsystems of your application
D. Requires manual intervention
E. Validates behavior of individual elements of your application

正解：C

解説：
Integration testing is a type of software testing where components of the software are gradually integrated and then tested as a unified group.
Get Latest & Actual Certified-Data-Engineer-Professional Exam's Question and Answers from

質問 # 116
Which statement describes the default execution mode for Databricks Auto Loader?

A. Cloud vendor-specific queue storage and notification services are configured to track newly arriving files; new files are incrementally and impotently into the target Delta Lake table.
B. Cloud vendor-specific queue storage and notification services are configured to track newly arriving files; the target table is materialized by directly querying all valid files in the source directory.
C. Webhook trigger Databricks job to run anytime new data arrives in a source directory; new data automatically merged into target tables using rules inferred from the data.
D. New files are identified by listing the input directory; the target table is materialized by directory querying all valid files in the source directory.
E. New files are identified by listing the input directory; new files are incrementally and idempotently loaded into the target Delta Lake table.

正解：E

解説：
Get Latest & Actual Certified-Data-Engineer-Professional Exam's Question and Answers from Explanation:
Databricks Auto Loader simplifies and automates the process of loading data into Delta Lake.
The default execution mode of the Auto Loader identifies new files by listing the input directory. It incrementally and idempotently loads these new files into the target Delta Lake table. This approach ensures that files are not missed and are processed exactly once, avoiding data duplication. The other options describe different mechanisms or integrations that are not part of the default behavior of the Auto Loader.

質問 # 117
......

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