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NEW QUESTION: 1
あなたのフォーチュン500企業は、Amazon S3の使用と追加のハードウェアの取得を評価するTCO分析を行っています。その結果、すべての従業員が個人文書の保管にAmazon S3を使用するアクセス権を付与されます。企業のADまたはLDAPディレクトリからのシングルサインオンを組み込み、各ユーザーのアクセスをバケット内の指定されたユーザーフォルダーに制限するソリューションをセットアップできるように、次のうちどれを検討する必要がありますか？
（3つの回答を選択してください）
A. フェデレーションプロキシまたはIDプロバイダーのセットアップ
B. AWS Security Token Serviceを使用して一時トークンを生成し、バケット内の各フォルダーにタグを付けます
C. IAMロールの設定
D. バケット内のフォルダーへのアクセスを必要とする社内ディレクトリ内のすべてのユーザーに一致するIAMユーザーを設定します
Answer: A,B,D

NEW QUESTION: 2
Cisco DNA Centerでデバイスをプロビジョニングすると、エンジニアは「デバイスを選択できません。テンプレートと互換性がありません。」というエラーメッセージを表示します。エラーの理由は何ですか？
A. テンプレートの構成が正しくありません。
B. テンプレートへの変更はコミットされませんでした
C. テンプレートのフィルタリングに使用されたタグがデバイスタグと一致しません。
D. テンプレートのソフトウェアバージョンがデバイスのソフトウェアバージョンと異なります
Answer: C

NEW QUESTION: 3
Welches der folgenden Merkmale ist ein gemeinsames Merkmal der Privatsphäre?
A. Prozess, bei dem der Proband vor Ort personenbezogene Daten überprüft und korrigiert
B. Hinweis auf das Vorhandensein einer Datenbank mit relevanten Kreditkartendaten
C. Datenbankanforderungen für die Integration von Datenschutzdaten
D. Bereitstellung eines Prüfpfads für den Zugriff auf die privaten Daten
Answer: A

NEW QUESTION: 4
During non-peak hours, a Developer wants to minimize the execution time of a full Amazon DynamoDB table scan without affecting normal workloads. The workloads average half of the strongly consistent read capacity units during non-peak hours.
How would the Developer optimize this scan?
A. Increase read capacity units during the scan operation
B. Use parallel scans while limiting the rate
C. Use sequential scans
D. Change consistency to eventually consistent during the scan operation
Answer: B
Explanation:
Explanation
Parallel scans would help improve the scan performance while using limit parameter the provisioned throughput consumed can be limited.
Refer AWS documentation - DynamoDB Parallel Scan
By default, the Scan operation processes data sequentially. DynamoDB returns data to the application in 1 MB increments, and an application performs additional Scan operations to retrieve the next 1 MB of data.
The larger the table or index being scanned, the more time the Scan will take to complete. In addition, a sequential Scan might not always be able to fully utilize the provisioned read throughput capacity: Even though DynamoDB distributes a large table's data across multiple physical partitions, a Scan operation can only read one partition at a time. For this reason, the throughput of a Scanis constrained by the maximum throughput of a single partition.
To address these issues, the Scan operation can logically divide a table or secondary index into multiple segments, with multiple application workers scanning the segments in parallel. Each worker can be a thread (in programming languages that support multithreading) or an operating system process.
A parallel scan with a large number of workers can easily consume all of the provisioned throughput for the table or index being scanned. It is best to avoid such scans if the table or index is also incurring heavy read or write activity from other applications.
To control the amount of data returned per request, use the parameter. This can help prevent situations where one worker consumes all of the provisioned throughput, at the expense of all other workers.