Databricks Databricks-Certified-Data-Engineer-Professional - PDF電子當

Databricks-Certified-Data-Engineer-Professional pdf
  • 考試編碼:Databricks-Certified-Data-Engineer-Professional
  • 考試名稱:Databricks Certified Data Engineer Professional Exam
  • 更新時間:2024-10-17
  • 問題數量:127 題
  • PDF價格: $59.98
  • 電子當(PDF)試用

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  • 考試編碼:Databricks-Certified-Data-Engineer-Professional
  • 考試名稱:Databricks Certified Data Engineer Professional Exam
  • 更新時間:2024-10-17
  • 問題數量:127 題
  • PDF電子當 + 軟件版 + 在線測試引擎(免費送)
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  • 考試編碼:Databricks-Certified-Data-Engineer-Professional
  • 考試名稱:Databricks Certified Data Engineer Professional Exam
  • 更新時間:2024-10-17
  • 問題數量:127 題
  • 軟件版價格: $59.98
  • 軟件版

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最新的 Databricks Certification Databricks-Certified-Data-Engineer-Professional 免費考試真題:

1. The data architect has mandated that all tables in the Lakehouse should be configured as external Delta Lake tables.
Which approach will ensure that this requirement is met?

A) Whenever a table is being created, make sure that the location keyword is used.
B) When tables are created, make sure that the external keyword is used in the create table statement.
C) When configuring an external data warehouse for all table storage. leverage Databricks for all ELT.
D) When the workspace is being configured, make sure that external cloud object storage has been mounted.
E) Whenever a database is being created, make sure that the location keyword is used Get Latest & Actual Certified-Data-Engineer-Professional Exam's Question and Answers from


2. Which configuration parameter directly affects the size of a spark-partition upon ingestion of data into Spark?

A) spark.sql.files.openCostInBytes
B) spark.sql.adaptive.coalescePartitions.minPartitionNum
C) spark.sql.files.maxPartitionBytes
D) spark.sql.autoBroadcastJoinThreshold
E) spark.sql.adaptive.advisoryPartitionSizeInBytes


3. The data science team has created and logged a production model using MLflow. The following code correctly imports and applies the production model to output the predictions as a new DataFrame named preds with the schema "customer_id LONG, predictions DOUBLE, date DATE".
Get Latest & Actual Certified-Data-Engineer-Professional Exam's Question and Answers from

The data science team would like predictions saved to a Delta Lake table with the ability to compare all predictions across time. Churn predictions will be made at most once per day.
Which code block accomplishes this task while minimizing potential compute costs?

A) preds.write.format("delta").save("/preds/churn_preds")
B)

C)

D)

E) preds.write.mode("append").saveAsTable("churn_preds")


4. The data engineering team has configured a Databricks SQL query and alert to monitor the values in a Delta Lake table. The recent_sensor_recordings table contains an identifying sensor_id alongside the timestamp and temperature for the most recent 5 minutes of recordings.
The below query is used to create the alert:

The query is set to refresh each minute and always completes in less than 10 seconds. The alert is set to trigger when mean (temperature) > 120. Notifications are triggered to be sent at most Get Latest & Actual Certified-Data-Engineer-Professional Exam's Question and Answers from every 1 minute.
If this alert raises notifications for 3 consecutive minutes and then stops, which statement must be true?

A) The source query failed to update properly for three consecutive minutes and then restarted
B) The maximum temperature recording for at least one sensor exceeded 120 on three consecutive executions of the query
C) The total average temperature across all sensors exceeded 120 on three consecutive executions of the query
D) The recent_sensor_recordingstable was unresponsive for three consecutive runs of the query
E) The average temperature recordings for at least one sensor exceeded 120 on three consecutive executions of the query


5. A junior data engineer is migrating a workload from a relational database system to the Databricks Lakehouse. The source system uses a star schema, leveraging foreign key constrains and multi-table inserts to validate records on write.
Which consideration will impact the decisions made by the engineer while migrating this workload?

A) Foreign keys must reference a primary key field; multi-table inserts must leverage Delta Lake's upsert functionality.
B) Committing to multiple tables simultaneously requires taking out multiple table locks and can lead to a state of deadlock.
C) Databricks only allows foreign key constraints on hashed identifiers, which avoid collisions in highly-parallel writes.
D) All Delta Lake transactions are ACID compliance against a single table, and Databricks does not enforce foreign key constraints.
E) Databricks supports Spark SQL and JDBC; all logic can be directly migrated from the source system without refactoring.


問題與答案:

問題 #1
答案: A
問題 #2
答案: C
問題 #3
答案: E
問題 #4
答案: E
問題 #5
答案: D

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