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NEW QUESTION: 1
You are creating an Azure load balancer.
You need to add an IPv6 load balancing rule to the load balancer.
How should you complete the Azure PowerShell script? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:

Explanation

References:
https://docs.microsoft.com/en-us/azure/load-balancer/load-balancer-ipv6-internet-ps

NEW QUESTION: 2
the employee's clock in time minutes = ExtractMinute(the employee's actual clock in time) the employee's clock in time minutes remainder = Remainder(the employee's clock in time minutes. IS)

You have created a policy model which adjusts employee shift start and end times, to align with an existing payroll system. If an employee clocked in at 09:22, what will the value of the adjusted employee's clock in time be?
A. 09:20
B. 09:30
C. 10:00
D. Uncertain
E. 09:15
F. 09:00
G. 09:25
Answer: F

NEW QUESTION: 3
Service A contains reporting logic that collects statistical data from different sources in order to produce a report document. One of the sources is a Web service that exists outside of the organizational boundary. Some of Service A's service consumers are encountering slow response times and periods of unavailability when invoking Service A.
While investigating the cause, it has been discovered that some of the messages received from the external Web service contain excessive data and links to files (that are not XML schemas or policies). What can be done to address this issue?
A. define cardinality in message schemas
B. correlate request and response messages across different services
C. avoid downloading XML schemas at runtime
D. use precompiled XPath expressions
Answer: A,C

NEW QUESTION: 4
Scaling a Cloud Dataproc cluster typically involves ____.
A. increasing or decreasing the number of worker nodes
B. moving memory to run more applications on a single node
C. increasing or decreasing the number of master nodes
D. deleting applications from unused nodes periodically
Answer: A
Explanation:
Explanation
After creating a Cloud Dataproc cluster, you can scale the cluster by increasing or decreasing the number of worker nodes in the cluster at any time, even when jobs are running on the cluster. Cloud Dataproc clusters are typically scaled to:
1) increase the number of workers to make a job run faster
2) decrease the number of workers to save money
3) increase the number of nodes to expand available Hadoop Distributed Filesystem (HDFS) storage Reference: https://cloud.google.com/dataproc/docs/concepts/scaling-clusters