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NEW QUESTION: 1


Answer:
Explanation:

Explanation

NEW QUESTION: 2
You administer an Azure Active Directory (Azure AD) tenant. You add a custom application to the tenant.
The application must be able to:
* Read data from the tenant directly.
* Write data to the tenant on behalf of a user.
In the table below, identify the permission that must be granted to the application. Make only one selection in each column.

Answer:
Explanation:

Explanation

Application Permission: Read directory data
The application must be able to Read data from the tenant directly.
Delegated Permission: Read and write Directory Data
The application must be able to write data to the tenant on behalf of a user.
As an administrator, you can also consent to an application's delegated permissions on behalf of all the users in your tenant. This will prevent the consent dialog from appearing for every user in the tenant. You can do this from the Azure portal from your application page. From the Settings blade for your application, click Required Permissions and click on the Grant Permissions button.
References:
https://docs.microsoft.com/en-us/azure/active-directory/develop/active-directory-integrating-applications

NEW QUESTION: 3
Refer to the exhibit. What IPSec function does the given debug output demonstrate?

A. DH exchange initiation
B. setting SPls to pass traffic
C. PFS parameter negotiation
D. crypto ACL confirmation
Answer: B

NEW QUESTION: 4
Note: This question is part of a series of questions that use the same scenario. For your convenience, the scenario is repeated in each question. Each question presents a different goal and answer choices, but the text of the scenario is exactly the same in each question in this series.
You have an initial dataset that contains the crime data from major cities.
You plan to build training models from the training dat
a. You plan to automate the process of adding more data to the training models and to constantly tune the models by using the additional data, including data that is collected in near real-time. The system will be used to analyze event data gathered from many different sources, such as Internet of Things (IoT) devices, live video surveillance, and traffic activities, and to generate predictions of an increased crime risk at a particular time and place.
You have an incoming data stream from Twitter and an incoming data stream from Facebook, which are event-based only, rather than time-based. You also have a time interval stream every 10 seconds.
The data is in a key/value pair format. The value field represents a number that defines how many times a hashtag occurs within a Facebook post, or how many times a Tweet that contains a specific hashtag is retweeted.
You must use the appropriate data storage, stream analytics techniques, and Azure HDInsight cluster types for the various tasks associated to the processing pipeline.
You are designing the real-time portion of the input stream processing. The input will be a continuous stream of data and each record will be processed one at a time. The data will come from an Apache Kafka producer.
You need to identify which HDInsight cluster to use for the final processing of the input data. This will be used to generate continuous statistics and real-time analytics. The latency to process each record must be less than one millisecond and tasks must be performed in parallel.
Which type of cluster should you identify?
A. Apache Storm
B. Apache HBase
C. Apache Spark
D. Apache Hadoop
Answer: A
Explanation:
References: https://docs.microsoft.com/en-us/azure/hdinsight/hdinsight-storm-overview