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NEW QUESTION: 1
You manage a financial computation data analysis process. Microsoft Azure virtual machines (VMs) run the process in daily jobs, and store the results in virtual hard drives (VHDs.) The VMs product results using data from the previous day and store the results in a snapshot of the VHD.
When a new month begins, a process creates a new VHD.
You must implement the following data retention requirements:
* Daily results must be kept for 90 days
* Data for the current year must be available for weekly reports
* Data from the previous 10 years must be stored for auditing purposes
* Data required for an audit must be produced within 10 days of a request.
You need to enforce the data retention requirements while minimizing cost.
How should you configure the lifecycle policy? To answer, drag the appropriate JSON segments to the correct locations. Each JSON segment may be used once, more than once, or not at all. You may need to drag the split bat between panes or scroll to view content.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:

Explanation

The Set-AzStorageAccountManagementPolicy cmdlet creates or modifies the management policy of an Azure Storage account.
Example: Create or update the management policy of a Storage account with ManagementPolicy rule objects.
Action -BaseBlobAction Delete -daysAfterModificationGreaterThan 100
PS C:\>$action1 = Add-AzStorageAccountManagementPolicyAction -InputObject $action1 -BaseBlobAction TierToArchive -daysAfterModificationGreaterThan 50 PS C:\>$action1 = Add-AzStorageAccountManagementPolicyAction -InputObject $action1 -BaseBlobAction TierToCool -daysAfterModificationGreaterThan 30 PS C:\>$action1 = Add-AzStorageAccountManagementPolicyAction -InputObject $action1 -SnapshotAction Delete -daysAfterCreationGreaterThan 100 PS C:\>$filter1 = New-AzStorageAccountManagementPolicyFilter -PrefixMatch ab,cd PS C:\>$rule1 = New-AzStorageAccountManagementPolicyRule -Name Test -Action $action1 -Filter $filter1 PS C:\>$action2 = Add-AzStorageAccountManagementPolicyAction -BaseBlobAction Delete
-daysAfterModificationGreaterThan 100
PS C:\>$filter2 = New-AzStorageAccountManagementPolicyFilter
References:
https://docs.microsoft.com/en-us/powershell/module/az.storage/set-azstorageaccountmanagementpolicy

NEW QUESTION: 2
A user, who recently switched offices, calls the help desk regarding the speed of network applications. A technician determines the user is only connected at 100Mb, but a 1Gb network card is already present. Which of the following is the MOST likely reason why the user is unable to connect beyond 100Mb speeds?
A. The user is connected via wired and wireless connections, but the PC is using the wireless connection.
B. The PC is assigned a static IP address that is in the wrong VLAN.
C. The PC is connected through a UPS line conditioner and needs to be connected directly.
D. The user's patch cord Is a Cat 5 cable and needs to be replaced with a Cat 5e cable.
Answer: D

NEW QUESTION: 3
サンプリングアプリケーションでは、監査人が何らかの特性を推定したい項目のグループは、と呼ばれます。
A. 関心のある属性。
B. 人口。
C. サンプリングユニット。
D. サンプル。
Answer: B

NEW QUESTION: 4
次の各ステートメントについて、ステートメントがtrueの場合は、[はい]を選択します。それ以外の場合は、[いいえ]を選択します。
注：正しい選択はそれぞれ1ポイントの価値があります。

Answer:
Explanation:

Explanation

Box 1: Yes
Content Moderator is part of Microsoft Cognitive Services allowing businesses to use machine assisted moderation of text, images, and videos that augment human review.
The text moderation capability now includes a new machine-learning based text classification feature which uses a trained model to identify possible abusive, derogatory or discriminatory language such as slang, abbreviated words, offensive, and intentionally misspelled words for review.
Box 2: No
Azure's Computer Vision service gives you access to advanced algorithms that process images and return information based on the visual features you're interested in. For example, Computer Vision can determine whether an image contains adult content, find specific brands or objects, or find human faces.
Box 3: Yes
Natural language processing (NLP) is used for tasks such as sentiment analysis, topic detection, language detection, key phrase extraction, and document categorization.
Sentiment Analysis is the process of determining whether a piece of writing is positive, negative or neutral.
Reference:
https://azure.microsoft.com/es-es/blog/machine-assisted-text-classification-on-content-moderator-public-preview
https://docs.microsoft.com/en-us/azure/architecture/data-guide/technology-choices/natural-language-processing