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NEW QUESTION: 1
You manage virtual machines (VMs) that are members of a VM scale set. You notice high memory utilization of the VMs during peak times.
You create an Azure Automation account with run-as capabilities.
You need to scale the VMs only during peak times.
Which three actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.

Answer:
Explanation:

Explanation

References:
https://docs.microsoft.com/en-us/azure/automation/automation-webhooks
https://docs.microsoft.com/en-us/azure/automation/automation-create-alert-triggered-runbook

NEW QUESTION: 2
You are a Dynamics 365 for Customer Service system administrator.
You enable the Quick Find view to look up First Name, Last Name, Email, and City on the Contact entity.
You need to identify where the Quick Find search will be used.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:


NEW QUESTION: 3
You want to count the number of occurrences for each unique word in the supplied input data. You've decided to implement this by having your mapper tokenize each word and emit a literal value 1, and then have your reducer increment a counter for each literal 1 it
receives. After successful implementing this, it occurs to you that you could optimize this by specifying a combiner. Will you be able to reuse your existing Reduces as your combiner in this case and why or why not?
A. No, because the sum operation in the reducer is incompatible with the operation of a Combiner.
B. No, because the Reducer and Combiner are separate interfaces.
C. Yes, because Java is a polymorphic object-oriented language and thus reducer code can be reused as a combiner.
D. Yes, because the sum operation is both associative and commutative and the input and output types to the reduce method match.
E. No, because the Combiner is incompatible with a mapper which doesn't use the same data type for both the key and value.
Answer: D
Explanation:
Combiners are used to increase the efficiency of a MapReduce program. They are used to aggregate intermediate map output locally on individual mapper outputs. Combiners can help you reduce the amount of data that needs to be transferred across to the reducers. You can use your reducer code as a combiner if the operation performed is commutative and associative. The execution of combiner is not guaranteed, Hadoop may or may not execute a combiner. Also, if required it may execute it more then 1 times. Therefore your MapReduce jobs should not depend on the combiners execution.
Reference: 24 Interview Questions & Answers for Hadoop MapReduce developers, What are combiners? When should I use a combiner in my MapReduce Job?

NEW QUESTION: 4
What is a prerequisite for using Business Intent?
A. vCenter tags
B. storage policies
C. vSphere 6.7
D. DRS clusters
Answer: A