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NEW QUESTION: 1
Windows Server 2016を実行するServer1という名前のオンプレミスファイルサーバーがあります。
Azureファイル共有を含むAzureサブスクリプションがあります。
Azure File Sync Storage Sync Serviceをデプロイし、同期グループを作成します。
Server1からAzureにファイルを同期する必要があります。
どの3つのアクションを順番に実行する必要がありますか？回答するには、適切なアクションをアクションのリストから回答領域に移動し、正しい順序に並べます。
Answer:
Explanation:
Explanation:
Step 1: Install the Azure File Sync agent on Server1
The Azure File Sync agent is a downloadable package that enables Windows Server to be synced with an Azure file share Step 2: Register Server1.
Register Windows Server with Storage Sync Service
Registering your Windows Server with a Storage Sync Service establishes a trust relationship between your server (or cluster) and the Storage Sync Service.
Step 3: Add a server endpoint
Create a sync group and a cloud endpoint.
A sync group defines the sync topology for a set of files. Endpoints within a sync group are kept in sync with each other. A sync group must contain one cloud endpoint, which represents an Azure file share and one or more server endpoints. A server endpoint represents a path on registered server.
References: https://docs.microsoft.com/en-us/azure/storage/files/storage-sync-files-deployment-guide
NEW QUESTION: 2
A. DHCP
B. CDP
C. OSPF
D. DNS
E. RIP
Answer: A,B
NEW QUESTION: 3
A Machine Learning Specialist is developing a daily ETL workflow containing multiple ETL jobs.
The workflow consists of the following processes:
- Start the workflow as soon as data is uploaded to Amazon S3.
- When all the datasets are available in Amazon S3, start an ETL job to join the uploaded datasets with multiple terabyte-sized datasets already stored in Amazon S3.
- Store the results of joining datasets in Amazon S3.
- If one of the jobs fails, send a notification to the Administrator.
Which configuration will meet these requirements?
A. Develop the ETL workflow using AWS Batch to trigger the start of ETL jobs when data is uploaded to Amazon S3. Use AWS Glue to join the datasets in Amazon S3. Use an Amazon CloudWatch alarm to send an SNS notification to the Administrator in the case of a failure.
B. Use AWS Lambda to chain other Lambda functions to read and join the datasets in Amazon S3 as soon as the data is uploaded to Amazon S3. Use an Amazon CloudWatch alarm to send an SNS notification to the Administrator in the case of a failure.
C. Develop the ETL workflow using AWS Lambda to start an Amazon SageMaker notebook instance. Use a lifecycle configuration script to join the datasets and persist the results in Amazon S3. Use an Amazon CloudWatch alarm to send an SNS notification to the Administrator in the case of a failure.
D. Use AWS Lambda to trigger an AWS Step Functions workflow to wait for dataset uploads to complete in Amazon S3. Use AWS Glue to join the datasets. Use an Amazon CloudWatch alarm to send an SNS notification to the Administrator in the case of a failure.
Answer: D
Explanation:
https://aws.amazon.com/step-functions/use-cases/
NEW QUESTION: 4
The following query will provide what information about transportable tablespaces for the current database? (Choose all that apply.)
select d.platform_name "Source", t.platform_name
"Compatible Targets", endian_format
from v$transportable_platform t, v$database d
where t.endian_format = (select endian_format
from v$transportable_platform t,
v$database d
where d.platform_name =
t.platform_name);
A. The list of target platforms requiring endian conversion
B. The list of all target platforms that can receive transportable tablespaces from the source database
C. The list of target platforms having the same endian format as the source database
D. None of the above
E. The list of target platforms that will not require endian conversion
Answer: C,E