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Vendor: GIAC

Exam Code: GFACT Dumps

Questions and Answers: 104

Product Price: $69.00

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NEW QUESTION: 1

A. Get-VM "Server2 | Set-VMNetworkAdapter-AllowTeaming On
B. Get-VM "Server1 | Set-VMNetworkAdapter -Allow/Teaming On
C. Get-VM "Server1 | Set-VMNetworkAdapter -PortMirroring Source
D. Get-VM "Server2 | Set-VMNetworkAdapter -PortMirroring Destination
E. Get-VM "Server1 | Set-VMNetworkAdapter -IovWeight 0
F. Get-VM "Server2 | Set-VMNetworkAdapter -IovWeight 1
Answer: C,D

NEW QUESTION: 2
あなたの会社はAWSでアプリケーションを開発することを計画しています。これはウェブベースのアプリケーションです。アプリケーションユーザーは、認証にFacebookまたはGoogle IDを使用します。これを管理するために追加のコーディングを追加する必要なしに、ユーザープロファイルを管理する機能が必要です。以下のどれがこれを助けるでしょう。
選んでください:
A. AWSでSAMLプロバイダーを作成する
B. AWSでOlDC IDプロバイダーを作成します
C. IAMユーザーを使用してユーザープロファイルを管理する
D. AWS Cognitoを使用してユーザープロファイルを管理する
Answer: D
Explanation:
Explanation
The AWS Documentation mentions the following
A user pool is a user directory in Amazon Cognito. With a user pool, your users can sign in to your web or mobile app through Amazon Cognito. Your users can also sign in through social identity providers like Facebook or Amazon, and through SAML identity providers. Whether your users sign in directly or through a third party, all members of the user pool have a directory profile that you can access through an SDK.
User pools provide:
Sign-up and sign-in services.
A built-in, customizable web Ul to sign in users.
Social sign-in with Facebook, Google, and Login with Amazon, as well as sign-in with SAML identity providers from your user pool.
User directory management and user profiles.
Security features such as multi-factor authentication (MFA), checks for compromised credentials, account takeover protection, and phone and email verification.
Customized workflows and user migration through AWS Lambda triggers.
Options A and B are invalid because these are not used to manage users
Option D is invalid because this would be a maintenance overhead
For more information on Cognito User Identity pools, please refer to the below Link:
https://docs.aws.amazon.com/coenito/latest/developerguide/cognito-user-identity-pools.html The correct answer is: Use AWS Cognito to manage the user profiles Submit your Feedback/Queries to our Experts

NEW QUESTION: 3
Note: This question is part of a series of questions that present the same Scenario.
Each question I the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution while others might not have correct solution.
Start of Repeated Scenario:
You have an initial data that contains the crime data from major cities.
You plan to build training models from the training data. You plan to automate the process of adding more data to the training models and to training 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 ptace.
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 tor the various tasks associated to the processing pipeline.
End of repeated Scenario.
You plan to consolidate all of the stream into a single timeline, even though none of the streams report events at the same interval.
You need to aggregate the data from the feeds to align with the time interval stream. The result must be the sim of all values for each within a 10 second interval, with the keys being the hashtags.
Which function should you use?
A. countByWindow
B. countByValueAndWindow
C. reduccByWindow
D. reduceByKeyAndWindow
E. updateStateByKey
Answer: D


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