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NEW QUESTION: 1
Which two operating systems are supported for Microsoft Dynamics CRM 2016? Each correct answer presents a complete solution. NOTE: Each correct selection is worth one point.
A. Windows Server 2012 Foundation Edition
B. Windows Server 2012 Standard Edition
C. Windows Server 2012 R2 Datacenter Edition
D. Windows Server 2012 R2 Essentials Edition
Answer: B,C
NEW QUESTION: 2
You write MapReduce job to process 100 files in HDFS. Your MapReduce algorithm uses
TextInputFormat: the mapper applies a regular expression over input values and emits key-values pairs with the key consisting of the matching text, and the value containing the filename and byte offset. Determine the difference between setting the number of reduces to one and settings the number of reducers to zero.
A. With zero reducers, all instances of matching patterns are gathered together in one file on HDFS. With one reducer, instances of matching patterns are stored in multiple files on HDFS.
B. With zero reducers, no reducer runs and the job throws an exception. With one reducer, instances of matching patterns are stored in a single file on HDFS.
C. There is no difference in output between the two settings.
D. With zero reducers, instances of matching patterns are stored in multiple files on HDFS. With one reducer, all instances of matching patterns are gathered together in one file on HDFS.
Answer: D
Explanation:
* It is legal to set the number of reduce-tasks to zero if no reduction is desired.
In this case the outputs of the map-tasks go directly to the FileSystem, into the output path set by setOutputPath(Path). The framework does not sort the map-outputs before writing them out to the FileSystem.
* Often, you may want to process input data using a map function only. To do this, simply set mapreduce.job.reduces to zero. The MapReduce framework will not create any reducer tasks. Rather, the outputs of the mapper tasks will be the final output of the job.
Note:
Reduce
In this phase the reduce(WritableComparable, Iterator, OutputCollector, Reporter) method
is called for each <key, (list of values)> pair in the grouped inputs.
The output of the reduce task is typically written to the FileSystem via
OutputCollector.collect(WritableComparable, Writable).
Applications can use the Reporter to report progress, set application-level status messages
and update Counters, or just indicate that they are alive.
The output of the Reducer is not sorted.
NEW QUESTION: 3
You have an Azure Active Directory (Azure AD) tenant and Windows 10 devices.
You configure a conditional access policy as shown in the exhibit. (Click the Exhibit tab.)
What is the result of the policy?
A. All users will always be prompted for multi-factor authentication (MFA).
B. Users will be prompted for multi-factor authentication (MFA) only when they sign in from devices that are NOT joined to Azure AD.
C. Users will be prompted for multi-factor authentication (MFA) only when they sign in from devices that are joined to Azure AD.
D. All users will be able to sign in without using multi-factor authentication (MFA).
Answer: D
Explanation:
Explanation
https://docs.microsoft.com/en-us/azure/active-directory/authentication/tutorial-enable-azure-mfa "Conditional Access policies can be set to Report-only if you want to see how the configuration would impact users, or Off if you don't want to the use policy right now. As a test group of users was targeted for this tutorial, lets enable the policy and then test Azure AD Multi-Factor Authentication.