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NEW QUESTION 231
You create an Ubuntu Linux virtual machine (VM) by using the Azure Portal. You do not specify a password when you create the VM. You need to connect to the terminal of the VM.
Solution: You connect to the public IP address of the VM by using Secure Shell (SSH) and specify your private key.
Does the solution meet the goal?

A.    Yes
B.    No

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QUESTION 31
Which of the following characteristics differentiate a rainbow table attack from a brute force attack? (Select TWO.)

A.    Rainbow table attacks greatly reduce compute cycles at attack time.
B.    Rainbow tables must include precompiled hashes.
C.    Rainbow table attacks do not require access to hashed passwords.
D.    Rainbow table attacks must be performed on the network.
E.    Rainbow table attacks bypass maximum failed login restrictions.

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QUESTION 1
A high-security defense installation recently began utilizing large guard dogs that bark very loudly and excitedly at the slightest provocation. Which of the following types of controls does this BEST describe?

A.    Deterrent
B.    Preventive
C.    Detective
D.    Compensating

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NEW QUESTION 1
You have an on-premises deployment of Active Directory named contoso.com. You plan to deploy a Microsoft Azure SQL data warehouse. You need to ensure that the data warehouse can be accessed by contoso.com users. Which two components should you deploy? (Each correct answer presents part of the solution. Choose two.)

A.    Azure AD Privileged Identity Management
B.    Azure Information Protection
C.    Azure Active Directory
D.    Azure AD Connect
E.    Cloud App Discovery
F.    Azure Active Directory B2C

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NEW QUESTION 1
Note: This question is part of a series of questions that use the same or similar answer choices. An answer choice may be correct for more than one question in the series. Each question is independent of the other questions in this series. Information and details provided in a question apply only to that question.
You are implementing a batch processing solution by using Azure HDInsight. You have a table that contains sales data. You plan to implement a query that will return the number of orders by zip code. You need to minimize the execution time of the queries and to maximize the compression level of the resulting data. What should you do?

A.    Use a shuffle join in an Apache Hive query that stores the data in a JSON format.
B.    Use a broadcast join in an Apache Hive query that stores the data in an ORC format.
C.    Increase the number of spark.executor.cores in an Apache Spark job that stores the data in a text format.
D.    Increase the number of spark.executor.instances in an Apache Spark job that stores the data in a text format.
E.    Decrease the level of parallelism in an Apache Spark job that stores the data in a text format.
F.    Use an action in an Apache Oozie workflow that stores the data in a text format.
G.    Use an Azure Data Factory linked service that stores the data in Azure Data Lake.
H.    Use an Azure Data Factory linked service that stores the data in an Azure DocumentDB database.

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