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NEW QUESTION: 1
A. Option C
B. Option B
C. Option A
D. Option D
E. Option E
Answer: A,B,D
NEW QUESTION: 2
Which two statements about ACI border leaf are true? (Choose two)
A. Only 32 border leaves are supported in an ACI fabric
B. The border leaves are dedicated leaf switches that support only Layer 2 and Layer 3 out in an ACI fabric
C. There can only be 2 border leaves in an ACI fabric. The first two leaves that are discovered in an ACI fabric are always selected as border leaves
D. The border leaf can also be used to connect to compute, IP storage, and service applications
E. The border leaves are ACI leaves that provide layer 3 connections to outside networks
Answer: D,E
NEW QUESTION: 3
You need to design the authentication solution for the NorthRide app. Which solution should you use?
A. Azure Active Directory Basic with multi-factor authentication for the cloud and on-premises users.
B. Azure Active Directory Premium and add multi-factor authentication the for cloud users
C. Active Directory Domain Services with mutual authentication
D. Active Directory Domain Services with multi-factor authentication
Answer: B
Explanation:
* Scenario: The NorthRide app must use an additional level of authentication other than the employee's password.
* Azure Multi-Factor Authentication is the multi-factor authentication service that requires users to also verify sign-ins using a mobile app, phone call or text message. It is available to use with Azure Active Directory, to secure on-premise resources with the Azure Multi-Factor Authentication Server, and with custom applications and directories using the SDK.
Reference: What is Azure Multi-Factor Authentication?
https://azure.microsoft.com/en-us/documentation/articles/multi-factor-authentication/
Reference: Azure Active Directory Pricing
http://azure.microsoft.com/en-gb/pricing/details/active-directory/
Topic 6, Mix Questions
NEW QUESTION: 4
What are the two advantages of using Hive over MapReduce? (Choose two.)
A. Hive allows for sophisticated analytics on large data sets.
B. Hive simplifies Hadoop for new users.
C. Hive is a free tool; Hadoop requires a license.
D. Hive is much faster than MapReduce because it accesses data directly.
E. Hive does not require MapReduce to run in order to analyze data.
Answer: A,B
Explanation:
E: A comparison of the performance of the Hadoop/Pig implementation of MapReduce with
Hadoop/Hive.
Both Hive and Pig are platforms optimized for analyzing large data sets and are built on top of Hadoop. Hive is a platform that provides a declarative SQLlike language whereas Pig requires users to write a procedural language called PigLatin.
Writing MapReduce jobs in Java can be difficult, Hive and Pig has been developed and works as platforms on top of Hadoop. Hive and Pig allows users easy access to data compared to implementing their own MapReduce in Hadoop.
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