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NEW QUESTION: 1
Fill in the blank.
Which file specifies the user accounts that can NOT submit jobs via at or batch? (Provide the full path and filename)
Answer:
Explanation:
/etc/at.deny

NEW QUESTION: 2
Azure Service Busがあります。
メッセージの先入れ先出し（FIFO）配信を保証するService Busキューを実装する必要があります。
あなたは何をするべきか？
A. セッションを有効にする
B. ロック期間設定を10秒に設定します
C. キューの最大サイズ設定を5 GBに設定します
D. パーティショニングを有効にする
E. 重複検出を有効にする
Answer: A
Explanation:
References:
https://docs.microsoft.com/en-us/azure/service-bus-messaging/service-bus-azure-and-service-bus-queuescompared-contrasted

NEW QUESTION: 3
You have an Azure subscription that contains two virtual networks named VNet1 and VNet2. Virtual machines connect to the virtual networks.
The virtual networks have the address spaces and the subnets configured as shown in the following table.

You need to add the address space of 10.33.0.0/16 to VNet1. The solution must ensure that the hosts on VNet1 and VNet2 can communicate.
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

Step 1: Remove peering between Vnet1 and VNet2.
You can't add address ranges to, or delete address ranges from a virtual network's address space once a virtual network is peered with another virtual network. To add or remove address ranges, delete the peering, add or remove the address ranges, then re-create the peering.
Step 2: Add the 10.44.0.0/16 address space to VNet1.
Step 3: Recreate peering between VNet1 and VNet2
References:
https://docs.microsoft.com/en-us/azure/virtual-network/virtual-network-manage-peering

NEW QUESTION: 4
A financial company uses Amazon S3 as its data lake and has set up a data warehouse using a multi-node Amazon Redshift cluster. The data files in the data lake are organized in folders based on the data source of each data file. All the data files are loaded to one table in the Amazon Redshift cluster using a separate COPY command for each data file location. With this approach, loading all the data files into Amazon Redshift takes a long time to complete. Users want a faster solution with little or no increase in cost while maintaining the segregation of the data files in the S3 data lake.
Which solution meets these requirements?
A. Load all the data files in parallel to Amazon Aurora, and run an AWS Glue job to load the data into Amazon Redshift.
B. Create a manifest file that contains the data file locations and issue a COPY command to load the data into Amazon Redshift.
C. Use an AWS Glue job to copy all the data files into one folder and issue a COPY command to load the data into Amazon Redshift.
D. Use Amazon EMR to copy all the data files into one folder and issue a COPY command to load the data into Amazon Redshift.
Answer: D