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最新的 Databricks Certification Databricks-Certified-Data-Engineer-Associate 免費考試真題 (Q114-Q119):

問題 #114
Which of the following describes a benefit of creating an external table from Parquet rather than CSV when using a CREATE TABLE AS SELECT statement?

A. Parquet files can be partitioned
B. CREATE TABLE AS SELECT statements cannot be used on files
C. Parquet files will become Delta tables
D. Parquet files have a well-defined schema
E. Parquet files have the ability to be optimized

答案：D

解題說明：
Option C is the correct answer because Parquet files have a well-defined schema that is embedded within the data itself. This means that the data types and column names of the Parquet files are automatically detected and preserved when creating an external table from them. This also enables the use of SQL and other structured query languages to access and analyze the data. CSV files, on the other hand, do not have a schema embedded in them, and require specifying the schema explicitly or inferring it from the data when creating an external table from them. This can lead to errors or inconsistencies in the data types and column names, and also increase the processing time and complexity.
CREATE TABLE AS SELECT, Parquet Files, CSV Files, Parquet vs. CSV

問題 #115
Which query is performing a streaming hop from raw data to a Bronze table?

答案：D

問題 #116
Which of the following code blocks will remove the rows where the value in column age is greater than 25 from the existing Delta table my_table and save the updated table?

A. UPDATE my_table WHERE age > 25;
B. SELECT * FROM my_table WHERE age > 25;
C. DELETE FROM my_table WHERE age > 25;
D. UPDATE my_table WHERE age <= 25;
E. DELETE FROM my_table WHERE age <= 25;

答案：C

問題 #117
What is the functionality of AutoLoader in Databricks?

A. Auto Loader automatically ingests and processes new files from cloud storage, handling only streaming data with no support for schema evolution.
B. Auto Loader automatically ingests and processes new files from cloud storage, handling batch and streaming data with no support for schema evolution.
C. Auto Loader automatically ingests and processes new files from cloud storage, handling both batch and streaming data with support for schema evolution.
D. Auto Loader automatically ingests and processes new files from cloud storage, handling batch data with support for schema evolution.

答案：C

解題說明：
Auto Loader in Databricks automatically ingests new files from cloud storage, supports both batch and streaming ingestion, and handles schema evolution, making it ideal for scalable pipelines.

問題 #118
A data engineer needs access to a table new_uable, but they do not have the correct permissions. They can ask the table owner for permission, but they do not know who the table owner is.
Which approach can be used to identify the owner of new_table?

A. Review the Owner field in the table's page in Data Explorer
B. Review the Permissions tab in the table's page in Data Explorer
C. There is no way to identify the owner of the table
D. Review the Owner field in the table's page in the cloud storage solution

答案：A

解題說明：
To find the owner of a table in Databricks, one can utilize the Data Explorer feature. The Data Explorer provides detailed information about various data objects, including tables. By navigating to the specific table's page in Data Explorer, a data engineer can review the Owner field, which identifies the individual or role that owns the table. This information is crucial for obtaining the necessary permissions or for any administrative actions related to the table.
References:Databricks documentation on Data Explorer: Using Data Explorer in Databricks

問題 #119
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使用精心研發的Databricks Databricks-Certified-Data-Engineer-Associate最新考古題有效率地學習您的Databricks Databricks-Certified-Data-Engineer-Associate考試

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我們提供高質量的Databricks-Certified-Data-Engineer-Associate最新考古題，保證妳100%通過考試

最新的 Databricks Certification Databricks-Certified-Data-Engineer-Associate 免費考試真題 (Q114-Q119):

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