SCS-C02최고품질시험덤프자료, SCS-C02최신버전덤프샘플문제
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완벽한 SCS-C02최고품질 시험덤프자료 덤프
Amazon인증 SCS-C02시험은 IT인증시험중 가장 인기있는 시험입니다. Amazon인증 SCS-C02시험패스는 모든 IT인사들의 로망입니다. Fast2test의 완벽한 Amazon인증 SCS-C02덤프로 시험준비하여 고득점으로 자격증을 따보세요.
Amazon SCS-C02 시험요강:
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최신 AWS Certified Specialty SCS-C02 무료샘플문제 (Q337-Q342):
질문 # 337
A company has configured an organization in AWS Organizations for its AWS accounts. AWS CloudTrail is enabled in all AWS Regions. A security engineer must implement a solution to prevent CloudTrail from being disabled. Which solution will meet this requirement?
- A. Enable server-side encryption with AWS KMS keys (SSE-KMS) for CloudTrail logs. Create a KMS key Attach a policy to the key to prevent decryption of the logs
- B. Create 1AM policies for all the company's users to prevent the users from performing the DescribeTrails action and the GetTrailStatus action.
- C. Create an SCP that includes an explicit Deny rule for the StopLogging action and the DeleteTrail action. Attach the SCP to the root OU.
- D. Enable CloudTrail log file integrity validation from the organization's management account.
정답:C
질문 # 338
An international company wants to combine AWS Security Hub findings across all the company's AWS Regions and from multiple accounts. In addition, the company wants to create a centralized custom dashboard to correlate these findings with operational data for deeper analysis and insights. The company needs an analytics tool to search and visualize Security Hub findings.
Which combination of steps will meet these requirements? (Select THREE.)
- A. Designate an AWS account in an organization in AWS Organizations as a delegated administrator for Security Hub. Publish events to Amazon EventBridgefrom the delegated administrator account, all member accounts, and required Regions that are enabled for Security Hub findings.
- B. In each Region, create an Amazon EventBridge rule to deliver findings to an Amazon Kinesis data stream. Configure the Kinesis data streams to output thelogs to a single Amazon S3 bucket.
- C. In each Region, create an Amazon EventBridge rule to deliver findings to an Amazon Kinesis Data Firehose delivery stream. Configure the Kinesis DataFirehose delivery streams to deliver the logs to a single Amazon S3 bucket.
- D. Partition the Amazon S3 data. Use AWS Glue to crawl the S3 bucket and build the schema. Use Amazon Athena to query the data and create views toflatten nested attributes. Build Amazon QuickSight dashboards that use the Athena views.
- E. Use AWS Glue DataBrew to crawl the Amazon S3 bucket and build the schema. Use AWS Glue Data Catalog to query the data and create views to flattennested attributes. Build Amazon QuickSight dashboards by using Amazon Athena.
- F. Designate an AWS account as a delegated administrator for Security Hub. Publish events to Amazon CloudWatch from the delegated administrator account,all member accounts, and required Regions that are enabled for Security Hub findings.
정답:A,C,D
설명:
The correct answer is B, D, and F. Designate an AWS account in an organization in AWS Organizations as a delegated administrator for Security Hub. Publish events to Amazon EventBridge from the delegated administrator account, all member accounts, and required Regions that are enabled for Security Hub findings. In each Region, create an Amazon EventBridge rule to deliver findings to an Amazon Kinesis Data Firehose delivery stream. Configure the Kinesis Data Firehose delivery streams to deliver the logs to a single Amazon S3 bucket. Partition the Amazon S3 data. Use AWS Glue to crawl the S3 bucket andbuild the schema. Use Amazon Athena to query the data and create views to flatten nested attributes. Build Amazon QuickSight dashboards that use the Athena views.
According to the AWS documentation, AWS Security Hub is a service that provides you with a comprehensive view of your security state across your AWS accounts, and helps you check your environment against security standards and best practices. You can use Security Hub to aggregate security findings from various sources, such as AWS services, partner products, or your own applications.
To use Security Hub with multiple AWS accounts and Regions, you need to enable AWS Organizations with all features enabled. This allows you to centrally manage your accounts and apply policies across your organization. You can also use Security Hub as a service principal for AWS Organizations, which lets you designate a delegated administrator account for Security Hub. The delegated administrator account can enable Security Hub automatically in all existing and future accounts in your organization, and can view and manage findings from all accounts.
According to the AWS documentation, Amazon EventBridge is a serverless event bus that makes it easy to connect applications using data from your own applications, integrated software as a service (SaaS) applications, and AWS services. You can use EventBridge to create rules that match events from various sources and route them to targets for processing.
To use EventBridge with Security Hub findings, you need to enable Security Hub as an event source in EventBridge. This will allow you to publish events from Security Hub to EventBridge in the same Region. You can then create EventBridge rules that match Security Hub findings based on criteria such as severity, type, or resource. You can also specify targets for your rules, such as Lambda functions, SNS topics, or Kinesis Data Firehose delivery streams.
According to the AWS documentation, Amazon Kinesis Data Firehose is a fully managed service that delivers real-time streaming data to destinations such as Amazon S3, Amazon Redshift, Amazon Elasticsearch Service (Amazon ES), and Splunk. You can use Kinesis Data Firehose to transform and enrich your data before delivering it to your destination.
To use Kinesis Data Firehose with Security Hub findings, you need to create a Kinesis Data Firehose delivery stream in each Region where you have enabled Security Hub. You can then configure the delivery stream to receive events from EventBridge as a source, and deliver the logs to a single S3 bucket as a destination. You can also enable data transformation or compression on the delivery stream if needed.
According to the AWS documentation, Amazon S3 is an object storage service that offers scalability, data availability, security, and performance. You can use S3 to store and retrieve any amount of data from anywhere on the web. You can also use S3 features such as lifecycle management, encryption, versioning, and replication to optimize your storage.
To use S3 with Security Hub findings, you need to create an S3 bucket that will store the logs from Kinesis Data Firehose delivery streams. You can then partition the data in the bucket by using prefixes such as account ID or Region. This will improve the performance and cost-effectiveness of querying the data.
According to the AWS documentation, AWS Glue is a fully managed extract, transform, and load (ETL) service that makes it easy to prepare and load your data for analytics. You canuse Glue to crawl your data sources, identify data formats, and suggest schemas and transformations. You can also use Glue Data Catalog as a central metadata repository for your data assets.
To use Glue with Security Hub findings, you need to create a Glue crawler that will crawl the S3 bucket and build the schema for the data. The crawler will create tables in the Glue Data Catalog that you can query using standard SQL.
According to the AWS documentation, Amazon Athena is an interactive query service that makes it easy to analyze data in Amazon S3 using standard SQL. Athena is serverless, so there is no infrastructure to manage, and you pay only for the queries that you run. You can use Athena with Glue Data Catalog as a metadata store for your tables.
To use Athena with Security Hub findings, you need to create views in Athena that will flatten nested attributes in the data. For example, you can create views that extract fields such as account ID, Region, resource type, resource ID, finding type, finding title, and finding description from the data. You can then query the views using SQL and join them with other tables if needed.
According to the AWS documentation, Amazon QuickSight is a fast, cloud-powered business intelligence service that makes it easy to deliver insights to everyone in your organization. You can use QuickSight to create and publish interactive dashboards that include machine learning insights. You can also use QuickSight to connect to various data sources, such as Athena, S3, or RDS.
To use QuickSight with Security Hub findings, you need to create QuickSight dashboards that use the Athena views as data sources. You can then visualize and analyze the findings using charts, graphs, maps, or tables. You can also apply filters, calculations, or aggregations to the data. You can then share the dashboards with your users or embed them in your applications.
질문 # 339
A security engineer is checking an AWS CloudFormation template for vulnerabilities. The security engineer finds a parameter that has a default value that exposes an application's API key in plaintext. The parameter is referenced several times throughout the template. The security engineer must replace the parameter while maintaining the ability to reference the value in the template.
Which solution will meet these requirements in the MOST secure way?
- A. Store the API key value as a SecureString parameter in AWS Systems Manager Parameter Store. In the template, replace all references to the value with {{resolve:ssm:MySSMParameterName:1}}.
- B. Store the API key value in AWS Secrets Manager. In the template, replace all references to the value with {{resolve:secretsmanager:MySecretId:SecretString}}.
- C. Store the API key value in a new Amazon S3 bucket. In the template, replace all references to the value with {{resolve:s3:MyBucketName:MyObjectName}}.
- D. Store the API key value in Amazon DynamoDB. In the template, replace all references to the value with {{resolve:dynamodb:MyTableName:MyPrimaryKey}}.
정답:B
설명:
https://docs.aws.amazon.com/secretsmanager/latest/userguide/cfn-example_reference-secret.html
질문 # 340
A company is developing an ecommerce application. The application uses Amazon EC2 instances and an Amazon RDS MySQL database. For compliance reasons, data must be secured in transit and at rest. The company needs a solution that minimizes operational overhead and minimizes cost.
Which solution meets these requirements?
- A. Use Amazon CloudFront with AWS WAF. Send HTTP connections to the origin EC2 instances.Ensure that the database client software uses a TLS connection to Amazon RDS. Use AWS Key Management Service (AWS KMS) for client-side encryption of application data before the data is stored in the RDS database.
- B. Use TLS certificates from a third-party vendor with an Application Load Balancer. Install the same certificates on the EC2 instances. Ensure that the database client software uses a TLS connection to Amazon RDS. Use AWS Secrets Manager for client-side encryption of application data.
- C. Use TLS certificates from AWS Certificate Manager (ACM) with an Application Load Balancer.
Deploy self-signed certificates on the EC2 instances. Ensure that the database client software uses a TLS connection to Amazon RDS. Enable encryption of the RDS DB instance. Enable encryption on the Amazon Elastic Block Store (Amazon EBS) volumes that support the EC2 instances. - D. Use AWS CloudHSM to generate TLS certificates for the EC2 instances. Install the TLS certificates on the EC2 instances. Ensure that the database client software uses a TLS connection to Amazon RDS. Use the encryption keys from CloudHSM for client-side encryption of application data.
정답:C
질문 # 341
A company developed an application by using AWS Lambda, Amazon S3, Amazon Simple Notification Service (Amazon SNS), and Amazon DynamoDB. An external application puts objects into the company's S3 bucket and tags the objects with date and time. A Lambda function periodically pulls data from the company's S3 bucket based on date and time tags and inserts specific values into a DynamoDB table for further processing.
The data includes personally identifiable information (PII). The company must remove data that is older than 30 days from the S3 bucket and the DynamoDB table.
Which solution will meet this requirement with the MOST operational efficiency?
- A. Create an S3 Lifecycle policy to expire objects that are older than 30 days by using object tags.Update the Lambda function to delete entries that are older than 30 days.
- B. Create an S3 Lifecycle policy to expire objects that are older than 30 days. Update the Lambda function to add the TTL attribute in the DynamoDB table. Enable TTL on the DynamoDB table to expire entries that are older than 30 days based on the TTL attribute.
- C. Create an S3 Lifecycle policy to expire objects that are older than 30 days and to add all prefixes to the S3 bucket. Update the Lambda function to delete entries that are older than 30 days.
- D. Update the Lambda function to add a TTL S3 flag to S3 objects. Create an S3 Lifecycle policy to expire objects that are older than 30 days by using the TTL S3 flag.
정답:B
설명:
https://docs.aws.amazon.com/AmazonS3/latest/userguide/lifecycle-configuration-examples.html
질문 # 342
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