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Download AWS Certified Solutions Architect - Professional Exam Dumps
NEW QUESTION 44
A company wants to host a global web application on AWS. It has the following design requirements.
The access pattern must allow for latching data from multiple data sources.
Minimize the of API calls.
Keep page load times to within 50 ms.
Provide user authentication and authorization and manage data access for different user personas (for example, administrator, manager, or engineer).
Use a server less design
Which set of strategies should a solution architect use?
A. Use Amazon CloudFront with Amazon S3 to host the web application Use Amazon API gateway to build the application APIs with AWS Lambda for the custom authorizer Authorize data access by performing user lookup in Simple AD.B. Use Amazon CloudFront with Amazon S3 to host the web application. Use AWS AppSync to build the application APIs. Use Amazon Cognito groups for each user persona Authorize data access by leveraging Amazon Cognito groups in AWS AppSync resolvers.C. Use Amazon CloudFront with AWS WAF to host the web application. Use AWS AppSync to build the application APIs. Use IAM groups for each user persona Authorize data access by leveraging IAM group in AWS AppSync resolvers.D. Use AWS Direct Connect with Amazon S3 to host the web application. Use Amazon API Gateway to build the application APIs. Use AWS Lambda for custom authentication and authorization. Authorize data access by leveraging IAM roles.
Answer: B
Explanation:
https://aws.amazon.com/blogs/mobile/appsync-pipeline-resolvers-3/
https://aws.amazon.com/fr/appsync/
NEW QUESTION 45
A solutions architect is implementing federated access to AWS for users of the company's mobile application. Due to regulatory and security requirements, the application must use a custom-built solution for authenticating users and must use 1AM roles for authorization.
Which of the following actions would enable authentication and authorization and satisfy the requirements? (Select TWO.)
A. Use a custom-built SAML-compatible solution for authentication and AWS SSO for authorization.B. Use a custom-built OpenID Connect-compatible solution with AWS SSO for authentication and authorization.C. Use a custom-built SAML-compatible solution that uses LDAP for authentication and uses a SAML assertion to perform authorization to the 1AM identity provider.D. Use a custom-built OpenID Connect-compatible solution for authentication and use Amazon Cognito for authorization.E. Create a custom-built LDAP connector using Amazon API Gateway and AWS Lambda for authentication. Store tokens in Amazon DynamoDB, and validate authorization requests using another Lambda function that reads the credentials from DynamoDB.
Answer: C,D
NEW QUESTION 46
A Solutions Architect is building a containerized NET Core application that will run in AWS Fargate The backend of the application requires Microsoft SQL Server with high availability All tiers of the application must be highly available The credentials used for the connection string to SQL Server should not be stored on disk within the .NET Core front-end containers.
Which strategies should the Solutions Architect use to meet these requirements'?
A. Create an Auto Scaling group to run SQL Server on Amazon EC2 Create a secret in AWS Secrets Manager for the credentials to SQL Server running on EC2 Create an Amazon ECS task execution role that allows the Fargate task definition to get the secret value for the credentials to SQL Server on EC2 Specify the ARN of the secret in Secrets Manager In the secrets section of the Fargate task definition so the sensitive data can be injected into the containers as environment variables on startup for reading into the application to construct the connection string Set up the NET Core service using Service Auto Scaling behind an Application Load Balancer in multiple Availabilitv Zones.B. Set up SQL Server to run in Fargate with Service Auto Scaling Create an Amazon ECS task execution role that allows the Fargate task definition to get the secret value for the credentials to SQL Server running in Fargate Specify the ARN of the secret in AWS Secrets Manager m the secrets section of the Fargate task definition so the sensitive data can be injected into the containers as environment variables on startup for reading into the application to construct the connection string Set up the NET Core service using Service Auto Scaling behind an Application Load Balancer in multiple Availability ZonesC. Create a Multi-AZ deployment of SQL Server on Amazon RDS Create a secret in AWS Secrets Manager for the credentials to the RDS database Create an Amazon ECS task execution role that allows the Fargate task definition to get the secret value for the credentials to the RDS database in Secrets Manager Specify the ARN of the secret in Secrets Manager in the secrets section of the Fargate task definition so the sensitive data can be injected into the containers as environment variables on startup for reading into the application to construct the connection string Set up the NET Core service m Fargate using Service Auto Scalina behind an Application Load Balancer in multiple Availability Zones.D. Create a Multi-AZ deployment of SQL Server on Amazon RDS Create a secret in AWS Secrets Manager for the credentials to the RDS database Create non-persistent empty storage for the NET Core containers in the Fargate task definition to store the sensitive information Create an Amazon ECS task execution role that allows the Fargate task definition to get the secret value for the credentials to the RDS database in Secrets Manager Specify the ARN of the secret in Secrets Manager in the secrets section of the Fargate task definition so the sensitive data can be written to the non-persistent empty storage on startup for reading into the application to construct the connection.
Answer: A
NEW QUESTION 47
A company operates pipelines across North America and South Americ
a. The company assesses pipeline inspection gauges with imagery and ultrasonic sensor data to monitor the condition of its pipelines. The pipelines are in areas with intermittent or unavailable internet connectivity. The imager data at each site requires terabytes of storage each month. The company wants a solution to collect the data at each site in monthly intervals and to store the data with high durability. The imagery captured must be preprocessed and uploaded to a central location for persistent Storage.
Which actions should a solutions architect take to meet these requirements?
A. Deploy AWS Snowball Edge devices at local sites in a cluster configuration. Configure AWS Lambda for preprocessing Ship the devices back to the closest AWS Region and store the date in Amazon S3 buckets.B. Deploy AWS Snowball devices at local sites in a cluster configuration. Configure AWS Lambda for preprocessing. Ship the devices back to the closest AWS Region and store the data in Amazon S3 bucketsC. Deploy AWS IoT Greengrass on eligible hardware across the sites. Configure AWS Lambda on the devices for preprocessing Upload the processed date to Amazon S3 buckets in AWS Regions closest to the sitesD. Deploy AWS IoT Greengrass on eligible hardware across the sites. Configure AWS Lambda on the devices for preprocessing. Ship the devices back to the closest AWS Region and store the data in Amazon S3 buckets
Answer: C
NEW QUESTION 48
A company wants to allow its Marketing team to perform SQL queries on customer records to identity market segments. The data is spread across hundred of flies. The records must be encrypted in transit and at rest. The Team Manager must have the ability to manage users and groups users and groups, but no team members should have access or resources not required for the SQL queries. Additionally Administrators needed to audit the queries made and receive notifications when a query violets rules defined by the Security team.
AWS organization has been used to create a new account and an AWS 1AM user with administrator permissions to the team manager.
Which design meets these requirements?
A. Apply a service control policy (SCP) that allow access to AIM, Amazon S3, and AWS CloudTrail. Store customer records as files in Amazon S3 and trail users to leverage the Amazon S3 Select feature and execute queries using the AWS CLI Enable S3 object-level and analyze CloudTrail events to audit and alarm on queries against personal data.B. Apply a service control policy (SCP) that allows access to 1AM. Amazon RDS. and AWS Cloudtrail Load customer records in Amazon MySQL and train users to execute queries using the AWS CLI Stream the query logs lo Amazon CloudWatch Logs from the RDS database instance. Use a subscription filter with AWS Lambda functions to audit and alarm on queries against personal data.C. Apply a service control policy (SCP) that denies access to all services except IAM Amazon Athena Amazon S3 and AWS CloudTrail Store customer record files in Amazon S3 and train users to execute queries using the CLI via Athena Analyze CloudTrail events lo audit and alarm on queries against personal dataD. Apply a service control policy (SCP) that denies access to all services except IAM Amazon DynamoDB and AWS CloudTrail . Store custom records in DynamoDB and tram users to execute queries using the AWS CLI Enable DynamoDB queries that are issued and use an AWS Lambda function for real-time monitoring and alerting.
Answer: C
NEW QUESTION 49
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