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NEW QUESTION: 1
注：この質問は、同じシナリオを提示する一連の質問の一部です。シリーズの各質問には、指定された目標を達成する可能性のある独自のソリューションが含まれています。一部の質問セットには複数の正しい解決策がある場合がありますが、他の質問セットには正しい解決策がない場合があります。
このセクションの質問に回答した後は、その質問に戻ることはできません。その結果、これらの質問はレビュー画面に表示されません。
File1とFile2という名前の2つの1 GBデータファイルを含むAzureストレージアカウントがあります。データファイルは、アーカイブアクセス層を使用するように設定されています。
取得要求が開始されたときに、File1にすぐにアクセスできるようにする必要があります。
解決策：File1の場合、アクセス層を
これは目標を達成していますか？
A. いいえ
B. はい
Answer: A
Explanation:
Explanation
Instead use the hot access tier.
The hot access tier has higher storage costs than cool and archive tiers, but the lowest access costs. Example usage scenarios for the hot access tier include:
* Data that's in active use or expected to be accessed (read from and written to) frequently.
* Data that's staged for processing and eventual migration to the cool access tier.
References:
https://docs.microsoft.com/en-us/azure/storage/blobs/storage-blob-storage-tiers

NEW QUESTION: 2
Which IPv4 multicast technical component measure provides architectural security?
A. IGMP max groups
B. state limit
C. access lists
D. scoped addresses
Answer: D

NEW QUESTION: 3
You need to define an evaluation strategy for the crowd sentiment models.
Which three actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.

Answer:
Explanation:

Explanation

Scenario:
Experiments for local crowd sentiment models must combine local penalty detection data.
Crowd sentiment models must identify known sounds such as cheers and known catch phrases. Individual crowd sentiment models will detect similar sounds.
Note: Evaluate the changed in correlation between model error rate and centroid distance In machine learning, a nearest centroid classifier or nearest prototype classifier is a classification model that assigns to observations the label of the class of training samples whose mean (centroid) is closest to the observation.
References:
https://en.wikipedia.org/wiki/Nearest_centroid_classifier
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/sweep-clustering

NEW QUESTION: 4
회사의 새로 설립 된 내부 고발자 시스템을 평가하는 동안 감사인은 몇 가지 사실을 지적합니다.다음 중 어느 것이 감사의 가장 큰 관심사?
A. 신입 사원에게는 내부 고발자 정책에 대한 정보가 없습니다.
B. 내부 고발자 시스템은 업무 시간에만 사용할 수 있습니다.
C. 내부 고발자 시스템은 제출 시간과 날짜를 추적하지 않습니다.
D. 내부 고발자의 개인 정보는 보호되지 않습니다.
Answer: D