Topic 4: Exam Pool D
A company's data platform uses an Amazon Aurora MySQL database. The database has multiple read replicas and multiple DB instances across different Availability Zones. Users have recently reported errors from the database that indicate that there are too many connections. The company wants to reduce the failover time by 20% when a read replica is promoted to primary writer. Which solution will meet this requirement?
A. Switch from Aurora to Amazon RDS with Multi-AZ cluster deployment.
B. Use Amazon RDS Proxy in front of the Aurora database.
C. Switch to Amazon DynamoDB with DynamoDB Accelerator (DAX) for read connections
D. Switch to Amazon Redshift with relocation capability.
Explanation: Amazon RDS Proxy is a service that provides a fully managed, highly available database proxy for Amazon RDS and Aurora databases. It allows you to pool and share database connections, reduce database load, and improve application scalability and availability. By using Amazon RDS Proxy in front of your Aurora database, you can achieve the following benefits: You can reduce the number of connections to your database and avoid errors that indicate that there are too many connections. Amazon RDS Proxy handles the connection management and multiplexing for you, so you can use fewer database connections and resources. You can reduce the failover time by 20% when a read replica is promoted to primary writer. Amazon RDS Proxy automatically detects failures and routes traffic to the new primary instance without requiring changes to your application code or configuration. According to a benchmark test, using Amazon RDS Proxy reduced the failover time from 66 seconds to 53 seconds, which is a 20% improvement. You can improve the security and compliance of your database access. Amazon RDS Proxy integrates with AWS Secrets Manager and AWS Identity and Access Management (IAM) to enable secure and granular authentication and authorization for your database connections.
A company runs its two-tier ecommerce website on AWS. The web tier consists of a load balancer that sends traffic to Amazon EC2 instances. The database tier uses an Amazon RDS DB instance. The EC2 instances and the RDS DB instance should not be exposed to the public internet. The EC2 instances require internet access to complete payment processing of orders through a third-party web service. The application must be highly available.
Which combination of configuration options will meet these requirements? (Choose two.)
A. Use an Auto Scaling group to launch the EC2 instances in private subnets. Deploy an RDS Multi-AZ DB instance in private subnets.
B. Configure a VPC with two private subnets and two NAT gateways across two Availability Zones. Deploy an Application Load Balancer in the private subnets.
C. Use an Auto Scaling group to launch the EC2 instances in public subnets across two Availability Zones. Deploy an RDS Multi-AZ DB instance in private subnets.
D. Configure a VPC with one public subnet, one private subnet, and two NAT gateways across two Availability Zones. Deploy an Application Load Balancer in the public subnet.
E. Configure a VPC with two public subnets, two private subnets, and two NAT gateways across two Availability Zones. Deploy an Application Load Balancer in the public subnets.
Explanation: Before you begin: Decide which two Availability Zones you will use for your EC2 instances. Configure your virtual private cloud (VPC) with at least one public subnet in each of these Availability Zones. These public subnets are used to configure the load balancer. You can launch your EC2 instances in other subnets of these Availability Zones instead.
A gaming company has a web application that displays scores. The application runs on Amazon EC2 instances behind an Application Load Balancer. The application stores data in an Amazon RDS for MySQL database. Users are starting to experience long delays and interruptions that are caused by database read performance. The company wants to improve the user experience while minimizing changes to the application's architecture.
What should a solutions architect do to meet these requirements?
A. Use Amazon ElastiCache in front of the database.
B. Use RDS Proxy between the application and the database.
C. Migrate the application from EC2 instances to AWS Lambda.
D. Migrate the database from Amazon RDS for MySQL to Amazon DynamoDB.
Explanation: ElastiCache can help speed up the read performance of the database by caching frequently accessed data, reducing latency and allowing the application to access the data more quickly. This solution requires minimal modifications to the current architecture, as ElastiCache can be used in conjunction with the existing Amazon RDS for MySQL database.
A company has multiple Windows file servers on premises. The company wants to migrate and consolidate its files into an Amazon FSx for Windows File Server file system. File permissions must be preserved to ensure that access rights do not change. Which solutions will meet these requirements? (Select TWO.)
A. Deploy AWS DataSync agents on premises. Schedule DataSync tasks to transfer the data to the FSx for Windows File Server file system.
B. Copy the shares on each file server into Amazon S3 buckets by using the AWS CLI Schedule AWS DataSync tasks to transfer the data to the FSx for Windows File Server file system.
C. Remove the drives from each file server Ship the drives to AWS for import into Amazon S3. Schedule AWS DataSync tasks to transfer the data to the FSx for Windows File Server file system
D. Order an AWS Snowcone device. Connect the device to the on-premises network. Launch AWS DataSync agents on the device. Schedule DataSync tasks to transfer the data to the FSx for Windows File Server file system,
E. Order an AWS Snowball Edge Storage Optimized device. Connect the device to the onpremises network. Copy data to the device by using the AWS CLI. Ship the device back to AWS for import into Amazon S3. Schedule AWS DataSync tasks to transfer the data to the FSx for Windows File Server file system.
Explanation: A This option involves deploying DataSync agents on your on-premises file servers and using DataSync to transfer the data directly to the FSx for Windows File Server. DataSync ensures that file permissions are preserved during the migration process. D This option involves using an AWS Snowcone device, a portable data transfer device. You would connect the Snowcone device to your on-premises network, launch DataSync agents on the device, and schedule DataSync tasks to transfer the data to FSx for Windows File Server. DataSync handles the migration process while preserving file permissions.
A company has a mobile chat application with a data store based in Amazon uynamoUb. users would like new messages to be read with as little latency as possible A solutions architect needs to design an optimal solution that requires minimal application changes. Which method should the solutions architect select?
A. Configure Amazon DynamoDB Accelerator (DAX) for the new messages table. Update the code to use the DAXendpoint.
B. Add DynamoDB read repticas to handle the increased read load. Update the application to point to the read endpoint for the read replicas.
C. Double the number of read capacity units for the new messages table in DynamoDB. Continue to use the existing DynamoDB endpoint.
D. Add an Amazon ElastiCache for Redis cache to the application stack. Update the application to point to the Redis cache endpoint instead of DynamoDB.
Explanation: https://aws.amazon.com/premiumsupport/knowledge-center/dynamodb-highlatency/
Amazon DynamoDB Accelerator (DAX) is a fully managed in-memory cache for
DynamoDB that improves the performance of DynamoDB tables by up to 10 times and
provides microsecond level of response time at any scale. It is compatible with DynamoDB
API operations and requires minimal code changes to use1. By configuring DAX for the
new messages table, the solution can reduce the latency for reading new messages with minimal application changes.
B. Add DynamoDB read repticas to handle the increased read load. Update the application
to point to the read endpoint for the read replicas. This solution will not work, as
DynamoDB does not support read replicas as a feature. Read replicas are available for
Amazon RDS, not for DynamoDB2.
C. Double the number of read capacity units for the new messages table in DynamoDB.
Continue to use the existing DynamoDB endpoint. This solution will not meet the
requirement of reading new messages with as little latency as possible, as increasing the
read capacity units will only increase the throughput of DynamoDB, not the performance or
latency3.
D. Add an Amazon ElastiCache for Redis cache to the application stack. Update the
application to point to the Redis cache endpoint instead of DynamoDB. This solution will
not meet the requirement of minimal application changes, as adding ElastiCache for Redis
will require significant code changes to implement caching logic, such as querying cache
first, updating cache after writing to DynamoDB, and invalidating cache when needed.
Reference URL: https://aws.amazon.com/dynamodb/dax/
A 4-year-old media company is using the AWS Organizations all features feature set fo organize its AWS accounts. According to he company's finance team, the billing information on the member accounts must not be accessible to anyone, including the root user of the member accounts. Which solution will meet these requirements?
A. Add all finance team users to an IAM group. Attach an AWS managed policy named Billing to the group.
B. Attach an identity-based policy to deny access to the billing information to all users, including the root user.
C. Create a service control policy (SCP) to deny access to the billing information. Attach the SCP to the root organizational unit (OU).
D. Convert from the Organizations all features feature set to the Organizations consolidated billing feature set.
Explanation: Service Control Policies (SCP): SCPs are an integral part of AWS Organizations and allow you to set fine-grained permissions on the organizational units (OUs) within your AWS Organization. SCPs provide central control over the maximum permissions that can be granted to member accounts, including the root user. Denying Access to Billing Information: By creating an SCP and attaching it to the root OU, you can explicitly deny access to billing information for all accounts within the organization. SCPs can be used to restrict access to various AWS services and actions, including billingrelated services. Granular Control: SCPs enable you to define specific permissions and restrictions at the organizational unit level. By denying access to billing information at the root OU, you can ensure that no member accounts, including root users, have access to the billing information.
A company is conducting an internal audit. The company wants to ensure that the data in an Amazon S3 bucket that is associated with the company's AWS Lake Formation data lake does not contain sensitive customer or employee data. The company wants to discover personally identifiable information (Pll) or financial information, including passport numbers and credit card numbers. Which solution will meet these requirements?
A. Configure AWS Audit Manager on the account. Select the Payment Card Industry Data Security Standards (PCI DSS) for auditing.
B. Configure Amazon S3 Inventory on the S3 bucket. Configure Amazon Athena to query the inventory.
C. Configure Amazon Macie to run a data discovery job that uses managed identifiers for the required data types.
D. Use Amazon S3 Select to run a report across the S3 bucket.
Explanation: Amazon Macie is a fully managed data security and data privacy service that uses machine learning and pattern matching to discover and protect your sensitive data in AWS. Macie can run data discovery jobs that use managed identifiers for various types of PII or financial information, such as passport numbers and credit card numbers. Macie can also generate findings that alert you to potential issues or risks with your data.
A company runs an application that uses Amazon RDS for PostgreSQL. The application receives traffic only on weekdays during business hours. The company wants to optimize costs and reduce operational overhead based on this usage. Which solution will meet these requirements?
A. Use the Instance Scheduler on AWS to configure start and stop schedules.
B. Turn off automatic backups. Create weekly manual snapshots of the database.
C. Create a custom AWS Lambda function to start and stop the database based on minimum CPU utilization.
D. Purchase All Upfront reserved DB instances.
Explanation: https://aws.amazon.com/solutions/implementations/instance-scheduler-onaws/?
nc1=h_ls
The Instance Scheduler on AWS solution automates the starting and stopping of Amazon
Elastic Compute Cloud (Amazon EC2) and Amazon Relational Database Service (Amazon
RDS) instances. This solution helps reduce operational costs by stopping resources that
are not in use and starting them when they are needed1. The solution allows you to define
custom schedules and periods using a command line interface (CLI) or an SSM
maintenance window1. You can also choose between different payment options for the
reserved DB instances, such as No Upfront, Partial Up front, or All Upfront2.
A company has a financial application that produces reports. The reports average 50 KB in size and are stored in Amazon S3. The reports are frequently accessed during the first week after production and must be stored for several years. The reports must be retrievable within 6 hours. Which solution meets these requirements MOST cost-effectively?
A. Use S3 Standard. Use an S3 Lifecycle rule to transition the reports to S3 Glacier after 7 days.
B. Use S3 Standard. Use an S3 Lifecycle rule to transition the reports to S3 Standard- Infrequent Access (S3 Standard-IA) after 7 days.
C. Use S3 Intelligent-Tiering. Configure S3 Intelligent-Tiering to transition the reports to S3 Standard-Infrequent Access (S3 Standard-IA) and S3 Glacier.
D. Use S3 Standard. Use an S3 Lifecycle rule to transition the reports to S3 Glacier Deep Archive after 7 days.
Explanation: To store and retrieve reports that are frequently accessed during the first week and must be stored for several years, S3 Standard and S3 Glacier are suitable solutions. S3 Standard offers high durability, availability, and performance for frequently accessed data. S3 Glacier offers secure and durable storage for long-term data archiving at a low cost. S3 Lifecycle rules can be used to transition the reports from S3 Standard to S3 Glacier after 7 days, which can reduce storage costs. S3 Glacier also supports retrieval within 6 hours.
A company’s compliance team needs to move its file shares to AWS. The shares run on a Windows Server SMB file share. A self-managed on-premises Active Directory controls access to the files and folders. The company wants to use Amazon FSx for Windows File Server as part of the solution. The company must ensure that the on-premises Active Directory groups restrict access to the FSx for Windows File Server SMB compliance shares, folders, and files after the move to AWS. The company has created an FSx for Windows File Server file system. Which solution will meet these requirements?
A. Create an Active Directory Connector to connect to the Active Directory. Map the Active Directory groups to IAM groups to restrict access.
B. Assign a tag with a Restrict tag key and a Compliance tag value. Map the Active Directory groups to IAM groups to restrict access.
C. Create an IAM service-linked role that is linked directly to FSx for Windows File Server to restrict access.
D. Join the file system to the Active Directory to restrict access.
Explanation: Joining the FSx for Windows File Server file system to the on-premises Active Directory will allow the company to use the existing Active Directory groups to restrict access to the file shares, folders, and files after the move to AWS. This option allows the company to continue using their existing access controls and management structure, making the transition to AWS more seamless.
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