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NEW QUESTION: 1
A company is creating a software solution that executes a specific parallel-processing mechanism. The software can scale to tens of servers in some special scenarios. This solution uses a proprietary library that is license-based, requiring that each individual server have a single, dedicated license installed. The company has
200 licenses and is planning to run 200 server nodes concurrently at most.
The company has requested the following features:
* A mechanism to automate the use of the licenses at scale.
* Creation of a dashboard to use in the future to verify which licenses are available at any moment.
What is the MOST effective way to accomplish these requirements'?
A. Upload the licenses to a private Amazon S3 bucket. Populate an Amazon SQS queue with the list of licenses stored in S3. Create an AWS CloudFormation template that uses an Auto Scaling group to launch the servers. In the user data script acquire an available license from SQS. Create an Auto Scaling lifecycle hook, then use it to put the license back in SQS after the instance is terminated.
B. Upload the licenses to an Amazon DynamoDB table. Create an AWS CloudFormation template that uses an Auto Scaling group to launch the servers. In the user data script, acquire an available license from the DynamoDB table. Create an Auto Scaling lifecycle hook, then use it to update the mapping after the instance is terminated.
C. Upload the licenses to an Amazon DynamoDB table. Create an AWS CLI script to launch the servers by using the parameter --count, with min:max instances to launch. In the user data script, acquire an available license from the DynamoDB table. Monitor each instance and, in case of failure, replace the instance, then manually update the DynamoDB table.
D. Upload the licenses to a private Amazon S3 bucket. Create an AWS CloudFormation template with a Mappings section for the licenses. In the template, create an Auto Scaling group to launch the servers. In the user data script, acquire an available license from the Mappings section. Create an Auto Scaling lifecycle hook, then use it to update the mapping after the instance is terminated.
Answer: C
NEW QUESTION: 2
Azure Blobストレージにデータファイルがあります。
ファイルを変換し、Azure Data Lake Storageに移動する予定です。
マッピングデータフローを使用してデータを変換する必要があります。
どのAzureサービスを使用する必要がありますか？
A. Azure Data Box Gateway
B. Azure Data Factory
C. Azure Databricks
D. Azure Storage Sync
Answer: B
Explanation:
Explanation
You can use Copy Activity in Azure Data Factory to copy data from and to Azure Data Lake Storage Gen2, and use Data Flow to transform data in Azure Data Lake Storage Gen2.
Reference:
https://docs.microsoft.com/en-us/azure/data-factory/connector-azure-data-lake-storage
NEW QUESTION: 3
展示を参照してください。
この構成の効果は何ですか？
A. スイッチは、無効なMAC-to-IPアドレスバインディングを持つすべての入力ARPトラフィックを破棄します。
B. すべてのARPパケットはスイッチによってドロップされます
C. インターフェイスが信頼できないため、すべての入力および出力トラフィックがドロップされます
D. 出力トラフィックは、宛先がDHCPサーバーの場合にのみ渡されます。
Answer: A
Explanation:
Explanation
Dynamic ARP inspection is an ingress security feature; it does not perform any egress checking.
NEW QUESTION: 4
Madeline has created a complex IBM LotusScript agent in her mail file to automatically file certain emails by keyword. This agent isn't getting scheduled to run in production, even though it works fine on her test server. What might be the problem?
A. The server isn't a mail server.
B. Madeline's mail file is corrupt and needs to have fixup run on it.
C. Madeline hasn't been given rights to run LotusScript agents on the server by her administrator.
D. The agent is too long.
Answer: C