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NEW QUESTION: 1
Scenario:
A Citrix Architect identifies a fault in the Active Directory design for CGE's existing XenApp environments. Group Policy Objects (GPOs) from OUs across the Active Directory apply when end users log on to XenApp applications, creating undesirable end-user experiences. The architect determines that CGE needs full control over which GPOs apply in the new environment.
Why would configuring loopback processing with replace at the root level ensure full control over which Group Policies are applied?
A. It ensures that only Group Policies located in the root Citrix OU are applied below the root level when end users log on.
B. It ensures that Group Policies located in the root Citrix OU are merged with Citrix policies.
C. It ensures that only Citrix policies are applied below the root level when end users log on.
D. It ensures that only Group Policies with the correct filtering in Active Directory are applied below the root level when end users log on.
Answer: C
NEW QUESTION: 2
An application using several queue managers is being tested for its end-to-end message throughput rates. The delivery times for the messages are longer than what the developers expect, and some messages are randomly lost. What can be done to help resolve this problem?
A. Evaluate the event messages that arrive on the dead letter queue
B. Record and evaluate activity information recorded by a trace-route message
C. Use a third party software package since IBM WebSphere MQ does not provide the ability totrack messages
D. Monitor the DEFAULT.SYSTEM.MSG.ROUTE queue for message routing events
Answer: B
NEW QUESTION: 3
Which consistency level should you use for Health Interface?
A. Session
B. Bounded Staleness
C. Consistent Prefix
D. Strong
Answer: D
Explanation:
Scenario: ADatum identifies the following requirements for the Health Interface application:
..reads must display be the most recent committed version of an item.
Azure Cosmos DB consistency levels include:
Strong: Strong consistency offers a linearizability guarantee. Linearizability refers to serving requests concurrently. The reads are guaranteed to return the most recent committed version of an item. A client never sees an uncommitted or partial write. Users are always guaranteed to read the latest committed write.
References:
https://docs.microsoft.com/en-us/azure/cosmos-db/consistency-levels