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NEW QUESTION # 218
To meet regulatory requirements, a Security Engineer needs to implement an IAM policy that restricts the use of AWS services to the us-east-1 Region.
What policy should the Engineer implement?
Answer: B
Explanation:
https://docs.aws.amazon.com/IAM/latest/UserGuide/reference_policies_examples_aws_deny-requested-region.h
NEW QUESTION # 219
A company is evaluating its security posture. In the past, the company has observed issues with specific hosts and host header combinations that affected the company's business. The company has configured AWS WAF web ACLs as an initial step to mitigate these issues.
The company must create a log analysis solution for the AWS WAF web ACLs to monitor problematic activity. The company wants to process all the AWS WAF logs in a central location. The company must have the ability to filter out requests based on specific hosts.
A security engineer starts to enable access logging for the AWS WAF web ACLs.
What should the security engineer do next to meet these requirements with the MOST operational efficiency?
Answer: C
Explanation:
The correct answer is C. Specify Amazon CloudWatch as the destination for the access logs. Export the CloudWatch logs to an Amazon S3 bucket. Use Amazon Athena to query the logs and to filter the logs by host.
According to the AWS documentation1, AWS WAF offers logging for the traffic that your web ACLs analyze. The logs include information such as the time that AWS WAF received the request from your protected AWS resource, detailed information about the request, and the action setting for the rule that the request matched. You can send your logs to an Amazon CloudWatch Logs log group, an Amazon Simple Storage Service (Amazon S3) bucket, or an Amazon Kinesis Data Firehose.
To create a log analysis solution for the AWS WAF web ACLs, you can use Amazon Athena, which is an interactive query service that makes it easy to analyze data in Amazon S3 using standard SQL2. You can use Athena to query and filter the AWS WAF logs by host or any other criteria. Athena is serverless, so there is no infrastructure to manage, and you pay only for the queries that you run.
To use Athena with AWS WAF logs, you need to export the CloudWatch logs to an S3 bucket. You can do this by creating a subscription filter that sends your log events to a Kinesis Data Firehose delivery stream, which then delivers the data to an S3 bucket3. Alternatively, you can use AWS DMS to migrate your CloudWatch logs to S34.
After you have exported your CloudWatch logs to S3, you can create a table in Athena that points to your S3 bucket and use the AWS service log format that matches your log schema5. For example, if you are using JSON format for your AWS WAF logs, you can use the AWSJSONSerDe serde. Then you can run SQL queries on your Athena table and filter the results by host or any other field in your log data.
Therefore, this solution meets the requirements of creating a log analysis solution for the AWS WAF web ACLs with the most operational efficiency. This solution does not require setting up any additional infrastructure or services, and it leverages the existing capabilities of CloudWatch, S3, and Athena.
The other options are incorrect because:
* A. Specifying Amazon Redshift as the destination for the access logs is not possible, because AWS WAF does not support sending logs directly to Redshift. You would need to use an intermediate service such as Kinesis Data Firehose or AWS DMS to load the data from CloudWatch or S3 to Redshift.
Deploying the Amazon Athena Redshift connector is not necessary, because you can query Redshift data directly from Athena without using a connector6. This solution would also incur additional costs and operational overhead of managing a Redshift cluster.
* B. Specifying Amazon CloudWatch as the destination for the access logs is possible, but using Amazon CloudWatch Logs Insights to design a query to filter the logs by host is not efficient or scalable.
CloudWatch Logs Insights is a feature that enables you to interactively search and analyze your log data
* in CloudWatch Logs7. However, CloudWatch Logs Insights has some limitations, such as a maximum query duration of 20 minutes, a maximum of 20 log groups per query, and a maximum retention period of 24 months8. These limitations may affect your ability to perform complex and long-running analysis on your AWS WAF logs.
* D. Specifying Amazon CloudWatch as the destination for the access logs is possible, but using Amazon Redshift Spectrum to query the logs and filter them by host is not efficient or cost-effective. Redshift Spectrum is a feature of Amazon Redshift that enables you to run queries against exabytes of data in S3 without loading or transforming any data9. However, Redshift Spectrum requires a Redshift cluster to process the queries, which adds additional costs and operational overhead. Redshift Spectrum also charges you based on the number of bytes scanned by each query, which can be expensive if you have large volumes of log data10.
References:
1: Logging AWS WAF web ACL traffic - Amazon Web Services 2: What Is Amazon Athena? - Amazon Athena 3: Streaming CloudWatch Logs Data to Amazon S3 - Amazon CloudWatch Logs 4: Migrate data from CloudWatch Logs using AWS Database Migration Service - AWS Database Migration Service 5: Querying AWS service logs - Amazon Athena 6: Querying data from Amazon Redshift - Amazon Athena 7: Analyzing log data with CloudWatch Logs Insights - Amazon CloudWatch Logs 8: CloudWatch Logs Insights quotas - Amazon CloudWatch 9: Querying external data using Amazon Redshift Spectrum - Amazon Redshift 10:
Amazon Redshift Spectrum pricing - Amazon Redshift
NEW QUESTION # 220
An online media company has an application that customers use to watch events around the world. The application is hosted on a fleet of Amazon EC2 instances that run Amazon Linux 2.
The company uses AWS Systems Manager to manage the EC2 instances. The company applies patches and application updates by using the AWS-AmazonLinux2DefaultPatchBaseline patching baseline in Systems Manager Patch Manager.
The company is concerned about potential attacks on the application during the week of an upcoming event. The company needs a solution that can immediately deploy patches to all the EC2 instances in response to a security incident or vulnerability. The solution also must provide centralized evidence that the patches were applied successfully.
Which combination of steps will meet these requirements? (Choose two.)
Answer: B,E
NEW QUESTION # 221
A security engineer configures Amazon S3 Cross-Region Replication (CRR) for all objects that are in an S3 bucket in the us-east-1. Region Some objects in this S3 bucket use server-side encryption with AWS KMS keys (SSE-KMS) for encryption at test. The security engineer creates a destination S3 bucket in the us-west-2 Region. The destination S3 bucket is in the same AWS account as the source S3 bucket.
The security engineer also creates a customer managed key in us-west-2 to encrypt objects at rest in the destination S3 bucket. The replication configuration is set to use the key in us-west-2 to encrypt objects in the destination S3 bucket. The security engineer has provided the S3 replication configuration with an IAM role to perform the replication in Amazon S3.
After a day, the security engineer notices that no encrypted objects from the source S3 bucket are replicated to the destination S3 bucket. However, all the unencrypted objects are replicated.
Which combination of steps should the security engineer take to remediate this issue? (Select THREE.)
Answer: B,E
Explanation:
To enable S3 Cross-Region Replication (CRR) for objects that are encrypted with SSE-KMS, the following steps are required:
Grant the IAM role the kms.Decrypt permission for the key in us-east-1 that encrypts source objects. This will allow the IAM role to decrypt the source objects before replicating them to the destination bucket. The kms.Decrypt permission must be granted in the key policy of the source KMS key or in an IAM policy attached to the IAM role.
Grant the IAM role the kms.Encrypt permission for the key in us-west-2 that encrypts objects that are in the destination S3 bucket. This will allow the IAM role to encrypt the replica objects with the destination KMS key before storing them in the destination bucket. The kms.Encrypt permission must be granted in the key policy of the destination KMS key or in an IAM policy attached to the IAM role.
This solution will remediate the issue of encrypted objects not being replicated to the destination bucket.
The other options are incorrect because they either do not grant the necessary permissions for CRR (A, C, D), or do not use a valid encryption method for CRR (E).
Verified Reference:
https://docs.aws.amazon.com/AmazonS3/latest/userguide/replication-config-for-kms-objects.html
NEW QUESTION # 222
A company has decided to move its fleet of Linux-based web server instances to an Amazon EC2 Auto Scaling group. Currently, the instances are static and are launched manually. When an administrator needs to view log files, the administrator uses SSH to establish a connection to the instances and retrieves the logs manually.
The company often needs to query the logs to produce results about application sessions and user issues. The company does not want its new automatically scaling architecture to result in the loss of any log files when instances are scaled in.
Which combination of steps should a security engineer take to meet these requirements MOST cost-effectively? (Choose two.)
Answer: A,D
Explanation:
CloudWatch Agent for Centralized Logging: The CloudWatch agent provides a reliable and efficient way to collect logs from the EC2 instances and send them to a central location, CloudWatch Logs. This eliminates the need for manual log retrieval via SSH and ensures logs are collected even during scaling events.
CloudWatch Logs Insights for Cost-Effective Analysis: CloudWatch Logs Insights is a serverless log query service built on top of CloudWatch Logs. It allows you to analyze log data at scale without the need for additional infrastructure or complex data warehousing solutions. This offers a cost-effective approach for querying and analyzing the log data stored in CloudWatch Logs.
NEW QUESTION # 223
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