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NEW QUESTION: 1
In a zero downtime scenario, which command do you run manually after all cluster members are upgraded?
Answer:
Explanation:
cphaconf set_ccp multicast

NEW QUESTION: 2
HOTSPOT
Overview:
Litware, Inc. is a company that manufactures personal devices to track physical activity and other health- related data.
Litware has a health tracking application that sends health-related data from a user's personal device to Microsoft Azure.
Litware has three development and commercial offices. The offices are located in the United States, Luxembourg, and India.
Litware products are sold worldwide. Litware has commercial representatives in more than 80 countries.
Existing Environment:
In addition to using desktop computers in all of the offices, Litware recently started using Microsoft Azure resources and services for both development and operations.
Litware has an Azure Machine Learning solution.
Litware recently extended its platform to provide third-party companies with the ability to upload data from devices to Azure. The data can be aggregated across multiple devices to provide users with a comprehensive view of their global health activity.
While the upload from each device is small, potentially more than 100 million devices will upload data daily by using an Azure event hub.
Each health activity has a small amount of data, such as activity type, start date/time, and end date/time.
Each activity is limited to a total of 3 KB and includes a customer identification key.
In addition to the Litware health tracking application, the users' activities can be reported to Azure by using an open API.
The developers at Litware perform Machine Learning experiments to recommend an appropriate health activity based on the past three activities of a user.
The Litware developers train a model to recommend the best activity for a user based on the hour of the day.
Requirements:
Litware plans to extend the existing dashboard features so that health activities can be compared between the users based on age, gender, and geographic region.
Minimize the costs associated with transferring data from the event hub to Azure Storage.
Litware identifies the following technical requirements:
Data from the devices must be stored for three years in a format that enables the fast processing of
HCE-5420 Simulationsfragen
date fields and filtering.
The third-party companies must be able to use the Litware Machine Learning models to generate
HCE-5420 Simulationsfragen
recommendations to their users by using a third-party application.
Any changes to the health tracking application must ensure that the Litware developers can run the
HCE-5420 Simulationsfragen
experiments without interrupting or degrading the performance of the production environment.
Activity tracking data must be available to all of the Litware developers for experimentation. The developers must be prevented from accessing the private information of the users.
When the Litware health tracking application asks users how they feel, their responses must be reported to Azure.
The health tracking application uses the features of a live dashboard to provide historical and trending.
You need to recommend which processing model must be used to process the following types of data:
The top three activities per user on rainy days
HCE-5420 Simulationsfragen
The top three activities per user during the last 24 hours
HCE-5420 Simulationsfragen
The top activities per geographic region during last 24 hours
HCE-5420 Simulationsfragen
The most common sequences of three activities in a row for all of the users
HCE-5420 Simulationsfragen
Which processing model should you recommend for each date type? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Hot Area:
HCE-5420 Simulationsfragen
Answer:
Explanation:
HCE-5420 Simulationsfragen
Explanation/Reference:

NEW QUESTION: 3
企業のWebサイトを使用して製品を一般に販売しています。サイトはApplication Load Balancer(ALB)の背後にあるAuto ScalingグループのAmazon EC2インスタンスで実行されています。AmazonCloudFrontディストリビューションもあり、AWS WAFがSQLインジェクション攻撃から保護するために使用されていますALBはCloudFrontディストリビューションの起源です。セキュリティログの最近のレビューにより、ウェブサイトへのアクセスをブロックする必要がある外部の悪意のあるIPが明らかになりました。ソリューションアーキテクトがアプリケーションを保護するために何をすべきですか?」
A. ALBの背後にあるターゲットグループのEC2インスタンスのセキュリティグループを変更して、悪意のあるIPアドレスを拒否します
B. CloudFrontディストリビューションのネットワークACLを変更して、悪意のあるIPアドレスの拒否ルールを追加します
C. ALBの背後にあるターゲットグループのEC2インスタンスのネットワークACLを変更して、悪意のあるIPアドレスを拒否します
D. AWS WAFの構成を変更して、悪意のあるIPアドレスをブロックするIP一致条件を追加します
Answer: D
Explanation:
Reference:
https://aws.amazon.com/blogs/aws/aws-web-application-firewall-waf-for-application-loadbalancers/
https://docs.aws.amazon.com/waf/latest/developerguide/classic-web-acl-ip-conditions.html A new version of the AWS Web Application Firewall was released in November 2019. With AWS WAF classic you create "IP match conditions", whereas with AWS WAF (new version) you create "IP set match statements". Look out for wording on the exam.
The IP match condition / IP set match statement inspects the IP address of a web request's origin against a set of IP addresses and address ranges. Use this to allow or block web requests based on the IP addresses that the requests originate from.
AWS WAF supports all IPv4 and IPv6 address ranges. An IP set can hold up to 10,000 IP addresses or IP address ranges to check.
CORRECT: "Modify the configuration of AWS WAF to add an IP match condition to block the malicious IP address" is the correct answer.
INCORRECT: "Modify the network ACL on the CloudFront distribution to add a deny rule for the malicious IP address" is incorrect as CloudFront does not sit within a subnet so network ACLs do not apply to it.
INCORRECT: "Modify the network ACL for the EC2 instances in the target groups behind the ALB to deny the malicious IP address" is incorrect as the source IP addresses of the data in the EC2 instances' subnets will be the ELB IP addresses.
INCORRECT: "Modify the security groups for the EC2 instances in the target groups behind the ALB to deny the malicious IP address." is incorrect as you cannot create deny rules with security groups.
References:
https://docs.aws.amazon.com/waf/latest/developerguide/waf-rule-statement-type-ipset-match.html If you want to allow or block web requests based on the IP addresses that the requests originate from, create one or more IP match conditions. An IP match condition lists up to 10,000 IP addresses or IP address ranges that your requests originate from. Later in the process, when you create a web ACL, you specify whether to allow or block requests from those IP addresses.
AWS Web Application Firewall (WAF) - Helps to protect your web applications from common application-layer exploits that can affect availability or consume excessive resources. As you can see in my post (New - AWS WAF), WAF allows you to use access control lists (ACLs), rules, and conditions that define acceptable or unacceptable requests or IP addresses. You can selectively allow or deny access to specific parts of your web application and you can also guard against various SQL injection attacks. We launched WAF with support for Amazon CloudFront
https://docs.aws.amazon.com/waf/latest/developerguide/classic-web-acl-ip-conditions.html
https://aws.amazon.com/blogs/aws/aws-web-application-firewall-waf-for-application-load-balancers/

NEW QUESTION: 4
Drag and Drop Question
You are developing an application. You have an Azure user account that has access to two subscriptions.
You need to retrieve a storage account key secret from Azure Key Vault.
In which order should you arrange the PowerShell commands to develop the solution? To answer, move all commands from the list of commands to the answer area and arrange them in the correct order.
HCE-5420 Simulationsfragen
Answer:
Explanation:
HCE-5420 Simulationsfragen
Explanation:
Step 1: Get-AzSubscription
If you have multiple subscriptions, you might have to specify the one that was used to create your key vault. Enter the following to see the subscriptions for your account:
Get-AzSubscription
Step 2: Set-AzContext -SubscriptionId
To specify the subscription that's associated with the key vault you'll be logging, enter:
Set-AzContext -SubscriptionId <subscriptionID>
Step 3: Get-AzStorageAccountKey
You must get that storage account key.
Step 4: $secretvalue = ConvertTo-SecureString <storageAccountKey> -AsPlainText -Force Set-AzKeyVaultSecret -VaultName <vaultName> -Name <secretName> -SecretValue
$secretvalue
After retrieving your secret (in this case, your storage account key), you must convert that key to a secure string, and then create a secret with that value in your key vault.
Step 5: Get-AzKeyVaultSecret
Next, get the URI for the secret you created. You'll need this URI in a later step to call the key vault and retrieve your secret. Run the following PowerShell command and make note of the ID value, which is the secret's URI:
Get-AzKeyVaultSecret -VaultName <vaultName>
Reference:
https://docs.microsoft.com/bs-latn-ba/Azure/key-vault/key-vault-key-rotation-log-monitoring


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