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NEW QUESTION: 1
Your network contains an Active Directory domain named contoso.com. An organizational unit (OU) named OU1 contains user accounts and computer accounts. A Group Policy object (GPO) named GP1 is linked to the domain. GP1 contains Computer Configuration settings and User Configuration settings.
You need to prevent the User Configuration settings in GP1 from being applied to users. The solution must ensure that the Computer Configuration settings in GP1 are applied to all client computers.
What should you configure?
A. the Group Policy loopback processing mode
B. the GPO Status
C. the Block Inheritance feature
D. the Enforced setting
Answer: B
Explanation:
Explanation
Explanation:
NEW QUESTION: 2
トラブルシューティングファイルを生成するために、Cisco FMC CLIでどのコマンドを入力しますか？
A. show running-config
B. sudo sf_troubleshoot.pl
C. show tech-support chassis
D. system support diagnostic-cli
Answer: B
Explanation:
Reference:
https://www.cisco.com/c/en/us/support/docs/security/sourcefire-defense-center/117663-technote- SourceFire-00.html
NEW QUESTION: 3
Under Basel Securitization rules the highest potential risk weight is:
A. 1500%
B. 350%
C. 750%
D. 1250%
Answer: D
Explanation:
Topic 5, Volume E
NEW QUESTION: 4
You receive data files in CSV format monthly from a third party. You need to cleanse this data, but every third month the schema of the files changes. Your requirements for implementing these transformations include:
* Executing the transformations on a schedule
* Enabling non-developer analysts to modify transformations
* Providing a graphical tool for designing transformations
What should you do?
A. Help the analysts write a Cloud Dataflow pipeline in Python to perform the transformation. The Python code should be stored in a revision control system and modified as the incoming data's schema changes
B. Use Apache Spark on Cloud Dataproc to infer the schema of the CSV file before creating a Dataframe.
Then implement the transformations in Spark SQL before writing the data out to Cloud Storage and loading into BigQuery
C. Load each month's CSV data into BigQuery, and write a SQL query to transform the data to a standard schema. Merge the transformed tables together with a SQL query
D. Use Cloud Dataprep to build and maintain the transformation recipes, and execute them on a scheduled basis
Answer: D
