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NEW QUESTION: 1
Note: This question is part of a series of questions that use the same scenario. For your convenience, the scenario is repeated in each question. Each question presents a different goal and answer choices, but the text of the scenario is exactly the same in each question in this series.
Start of repeated scenario.
Your network contains an Active Directory domain named contoso.com. The domain contains a single site named Site1. All computers are in Site1.
The Group Policy objects (GPOs) for the domain are configured as shown in the exhibit. (Click the Exhibit button.)

The relevant users and client computer in the domain are configured as shown in the following table.

End of repeated scenario.
You are evaluating what will occur when you remove the Authenticated Users group from the Security Filtering settings of A5.
Which GPO or GPOs will apply to User1 when the user signs in to Computer1 after Security Filtering is configured?
A. A7 only
B. A3 and A1 only.
C. A3, A1, A6 and A7
D. A1 and A7 only
Answer: D

NEW QUESTION: 2
Who is responsible for infrastructure Security in Software as a Service(SaaS) service model?
A. Cloud Carrier
B. Cloud Customer
C. It's a shared responsibility between Cloud Service Provider and Cloud Customer
D. Cloud Service Provider
Answer: D
Explanation:
Cloud service Provider is responsible for infrastructure in Software as a service(SaaS) service Model

NEW QUESTION: 3
Which methods can be used to reduce the number of rows processed by BigQuery?
A. Splitting tables into multiple tables; putting data in partitions; using the LIMIT clause
B. Splitting tables into multiple tables; putting data in partitions
C. Splitting tables into multiple tables; using the LIMIT clause
D. Putting data in partitions; using the LIMIT clause
Answer: B
Explanation:
If you split a table into multiple tables (such as one table for each day), then you can limit your query to the data in specific tables (such as for particular days). A better method is to use a partitioned table, as long as your data can be separated by the day.
If you use the LIMIT clause, BigQuery will still process the entire table.
Reference: https://cloud.google.com/bigquery/docs/partitioned-tables