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NEW QUESTION: 1
Microsoft Exchange Server 2019組織があります。
ユーザーはMicrosoft Outlook 2019を使用して自分の電子メールにアクセスします。
メールボックスが新しいユーザーのために準備されるとき、新しいユーザーがグローバルアドレス一覧（GAL）に表示される前に、何時間もの遅延があることをユーザーが報告します。 Web上のOutlookから、ユーザーはGALですぐに新しいユーザーを見ることができます。
Outlook 2019で新しいユーザーがGALに表示されるまでにかかる時間を短縮する必要があります。
あなたは何をするべきか？
A. オフラインアドレス（OAB）のスケジュールを変更します。
B. デフォルトのメールアドレスポリシーを変更します。
C. Update-GlobalAddressListコマンドレットを実行するスケジュールされたタスクを作成します。
D. アドレス帳ポリシー（ABP）として作成します。
Answer: A
Explanation:
Explanation
References:
https://www.howto-outlook.com/howto/oabupdate.htm#syncschedules
NEW QUESTION: 2
Who are the two primary users of an implementation strategy? (Choose two.)
A. major work package owners
B. the program leader responsible for achieving business results
C. executive sponsor and steering committee
D. the leaders for training
E. the technical architect
Answer: A,B
NEW QUESTION: 3
회사는로드 밸런서를 사용하여 단일 가용 영역의 Amazon EC2 인스턴스로 트래픽을 분산합니다. 회사는 보안에 관심이 있으며 솔루션 설계자가 다음 요구 사항을 충족하도록 솔루션을 재 설계하기를 원합니다.
* 일반적인 취약성 공격을 위해 인바운드 요청을 필터링해야 합니다.
* 거부 된 요청은 타사 감사 애플리케이션으로 보내야 합니다.
* 모든 리소스는 가용성이 높아야 합니다.
이러한 요구 사항을 충족하는 솔루션은 무엇입니까? ''
A. EC2 인스턴스를 대상으로 추가하는 대상 그룹과 함께 Application Load Balancer (ALB) 구성 타사 감사 애플리케이션의 대상으로 Amazon Kinesis Data Firehose 생성 WAF에서 웹 ACL 생성 다음을 사용하여 AWS WAF 생성 그런 다음 웹 ACL 및 ALB는 Kinesis Data Firehose를 대상으로 선택하여 로깅을 활성화하고 AWS Marketplace에서 AWS 관리 형 규칙 구독을 선택하고 구독자로 WAF를 선택합니다.
B. 애플리케이션의 AMI를 사용하여 다중 AZ Auto Scaling 그룹을 구성합니다. ALB (Application Load Balancer)를 생성하고 이전에 생성 한 Auto Scaling 그룹을 대상으로 선택 Amazon Inspector를 사용하여 ALB 및 EC2 인스턴스에 대한 트래픽 모니터링 WAF에서 웹 ACL 생성 웹 ACL 및 ALB를 사용하여 AWS WAF 생성 AWS 사용 Amazon Inspector 보고서를 타사 감사 애플리케이션에 자주 푸시하는 Lambda 함수
C. 애플리케이션의 AMI를 사용하여 다중 AZ Auto Scaling 그룹 구성 Application Load Balancer (ALB) 생성 및 이전에 생성 된 Auto Scaling 그룹을 대상으로 선택 타사 감사 대상으로 Amazon Kinesis Data Firehose 생성 애플리케이션 WAF에서 웹 ACL 생성 WebACL 및 ALB를 사용하여 AWS WAF를 생성 한 다음 대상으로 Kinesis Data Firehose를 선택하고 구독자로 WAF를 선택하여 AWS Marketplace에서 AWS 관리 형 규칙 구독을 선택하여 로깅을 활성화합니다.
D. Application Load Balancer (ALB) 구성 및 EC2 인스턴스를 대상으로 추가 WAF에서 웹 ACL 생성 웹 ACL 및 ALB 이름을 사용하여 AWS WAF를 생성하고 Amazon CloudWatch Logs로 로깅 활성화 AWS Lambda 함수를 사용하여 자주 타사 감사 애플리케이션에 로그 푸시
Answer: C
NEW QUESTION: 4
Which three are true regarding the use of Storage Indexes?
A. A Storage index is automatically maintained by CELLSRV based on the filter columns of the offload SQL.
B. Different storage regions may have different columns indexed for the same table.
C. A maximum of eight table columns for any table are Indexed per storage region.
D. The use of Storage indexes for a particular database can be disabled by using an I/O Resource Manager Database Plan.
E. The use of Storage Indexes for particular categories of I/O can be disabled by using an I/O Resource Manager Category Plan.
F. Storage Indexes occupy space in the Smart Flash Cache.
Answer: A,B,C
Explanation:
Explanation/Reference:
Note:
* Storage indexes are used during smart scans. All the limitations to smart scans apply to storage indexes.
They do not work with joins. Bind variables are supported, however it's slightly more restrictive than regular indexes/queries.
* The storage index is stored in the memory on each of the Exadata storage cells and is created and maintained transparently. However, if a storage cell is shutdown or rebooted the storage index will be lost from memory and will be recreated on subsequent accesses to the data after the cell has been brought back online.
* Storage Indexes are a very powerful capability provided in Exadata storage that helps avoid I/O operations. The Exadata Storage Server Software creates and maintains a Storage Index (that is, metadata about the database objects) in the Exadata cell. The Storage Index keeps track of minimum and maximum values of columns for tables stored on that cell. When a query specifies a WHERE clause, but before any I/O is done, the Exadata software examines the Storage Index to determine if rows with the specified column value exist in the cell by comparing the column value to the minimum and maximum values maintained in the Storage Index. If the column value is outside the minimum and maximum range, scan I/O for that query is avoided. Many SQL Operations run dramatically faster because large numbers of I/O operations are automatically replaced by a few lookups. To minimize operational overhead, Storage Indexes are created and maintained transparently and automatically by the Exadata Storage Server Software.