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NEW QUESTION: 1
Amazon VPCでAmazon Relational Database Service（RDS）PostgreSQLインスタンスを作成したばかりで、接続できません。次のうち、Amazon RDSエンドポイントへの接続の問題を引き起こしているものはどれですか？ 3つの答えを選んでください
A. オプショングループの誤った構成
B. ローカルファイアウォールのAmazon RDSエンドポイントポートの制限
C. Amazon RDSインスタンスはまだ実行状態ではありません
D. 不正なAmazon RDS DBインスタンスタイプ
E. DBセキュリティグループの不正なルール
F. VPCセキュリティグループの誤ったルール
Answer: B,C,E
NEW QUESTION: 2
You are developing a data science workspace that uses an Azure Machine Learning service.
You need to select a compute target to deploy the workspace.
What should you use?
A. Apache Spark for HDInsight.
B. Azure Container Service
C. Azure Databrick .
D. Azure Data Lake Analytics
Answer: B
Explanation:
Explanation
Azure Container Instances can be used as compute target for testing or development. Use for low-scale CPU-based workloads that require less than 48 GB of RAM.
Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/service/how-to-deploy-and-where
NEW QUESTION: 3
A company is developing a new machine learning model solution in AWS. The models are developed as independent microservices that fetch about 1 GB of model data from Amazon S3 at startup and load the data into memory. Users access the models through an asynchronous API. Users can send a request or a batch of requests and specify where the results should be sent.
The company provides models to hundreds of users. The usage patterns for the models are irregular Some models could be unused for days or weeks Other models could receive batches of thousands of requests at a time ' Which solution meets these requirements?
A. The requests from the API are sent to an Application Load Balancer (ALB) Models are deployed as AWS Lambda functions invoked by the ALB.
B. The requests from the API are sent to the model's Amazon Simple Queue Service (Amazon SQS) queue.
Models are deployed as Amazon Elastic Container Service (Amazon ECS) services reading from the queue AWS App Mesh scales the instances of the ECS cluster based on the SQS queue size'
C. The requests from the API are sent to the models Amazon Simple Queue Service (Amazon SQS) queue.
Models are deployed as AWS Lambda functions triggered by SQS events AWS Auto Scaling is enabled on Lambda to increase the number of vCPUs based on the SQS queue size
D. The requests from the API are sent to the models Amazon Simple Queue Service (Amazon SQS) queueModels are deployed as Amazon Elastic Container Service (Amazon ECS) services reading from the queue AWS Auto Scaling .s enabled on Amazon ECS for both the cluster and copies of the service based on the queue size.
Answer: D
NEW QUESTION: 4
The network administrator at an enterprise reported a large data leak. One compromised server was used to aggregate data from several critical application servers and send it out to the Internet using HTTPS.
Upon investigation, there have been no user logins over the previous week and the endpoint protection software is not reporting any issues. Which of the following BEST provides insight into where the compromised server collected the information?
A. Configure the server logs to collect unusual activity including failed logins and restarted services.
B. Review the flow data against each server's baseline communications profile.
C. Setup a packet capture on the firewall to collect all of the server communications.
D. Correlate data loss prevention logs for anomalous communications from the server.
Answer: B
Explanation:
Network logging tools such as Syslog, DNS, NetFlow, behavior analytics, IP reputation, honeypots, and
DLP solutions provide visibility into the entire infrastructure. This visibility is important because signature-based systems are no longer sufficient for identifying the advanced attacker that relies heavily on custom malware and zero-day exploits. Having knowledge of each host's communications, protocols, and traffic volumes as well as the content of the data in question is key to identifying zero day and APT
(advance persistent threat) malware and agents. Data intelligence allows forensic analysis to identify anomalous or suspicious communications by comparing suspected traffic patterns against normal data communication behavioral baselines. Automated network intelligence and next-generation live forensics provide insight into network events and rely on analytical decisions based on known vs. unknown behavior taking place within a corporate network.
Incorrect Answers:
B: The attack has already happened; the server has already been compromised. Configuring the server logs to collect unusual activity including failed logins and restarted services might help against future attacks but it will not provide information on an attack that has already happened.
C: It is unlikely the DLP logs would contain anomalous communications from the server that would identify where the server collected the information.
D: The attack has already happened; the server has already been compromised. Setting up a packet capture on the firewall to collect all of the server communications might help against future attacks but it will not provide information on an attack that has already happened.
References:
https://www.sans.org/reading-room/whitepapers/forensics/ids-file-forensics-35952, p. 6
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