- (Topic 3)
A company wants to use high performance computing (HPC) infrastructure on AWS for financial risk modeling. The company's HPC workloads run on Linux. Each HPC workflow runs on hundreds of Amazon EC2 Spot Instances, is shorl-lived, and generates thousands of output files that are ultimately stored in persistent storage for analytics and long-term future use.
The company seeks a cloud storage solution that permits the copying of on-premises data to long-term persistent storage to make data available for processing by all EC2 instances. The solution should also be a high performance file system that is integrated with persistent storage to read and write datasets and output files.
Which combination of AWS services meets these requirements?
Correct Answer:
A
https://aws.amazon.com/fsx/lustre/
Amazon FSx for Lustre is a fully managed service that provides cost-effective, high- performance, scalable storage for compute workloads. Many workloads such as machine learning, high performance computing (HPC), video rendering, and financial simulations depend on compute instances accessing the same set of data through high-performance shared storage.
- (Topic 3)
A company has an application that collects data from loT sensors on automobiles. The data is streamed and stored in Amazon S3 through Amazon Kinesis Date Firehose The data produces trillions of S3 objects each year. Each morning, the company uses the data from the previous 30 days to retrain a suite of machine learning (ML) models.
Four times each year, the company uses the data from the previous 12 months to perform analysis and train other ML models The data must be available with minimal delay for up to 1 year. After 1 year, the data must be retained for archival purposes.
Which storage solution meets these requirements MOST cost-effectively?
Correct Answer:
D
- First 30 days- data access every morning ( predictable and frequently) – S3 standard - After 30 days, accessed 4 times a year – S3 infrequently access - Data preserved- S3 Gllacier Deep Archive
- (Topic 1)
A company has a data ingestion workflow that consists the following:
✑ An Amazon Simple Notification Service (Amazon SNS) topic for notifications about new data deliveries
✑ An AWS Lambda function to process the data and record metadata
The company observes that the ingestion workflow fails occasionally because of network connectivity issues. When such a failure occurs, the Lambda function does not ingest the corresponding data unless the company manually reruns the job.
Which combination of actions should a solutions architect take to ensure that the Lambda
function ingests all data in the future? (Select TWO.)
Correct Answer:
BE
To ensure that the Lambda function ingests all data in the future despite occasional network connectivity issues, the following actions should be taken:
✑ Create an Amazon Simple Queue Service (SQS) queue and subscribe it to the SNS topic. This allows for decoupling of the notification and processing, so that even if the processing Lambda function fails, the message remains in the queue for further processing later.
✑ Modify the Lambda function to read from the SQS queue instead of directly from SNS. This decoupling allows for retries and fault tolerance and ensures that all messages are processed by the Lambda function.
Reference:
AWS SNS documentation: https://aws.amazon.com/sns/ AWS SQS documentation: https://aws.amazon.com/sqs/
AWS Lambda documentation: https://aws.amazon.com/lambda/
- (Topic 4)
A company has an on-premises server that uses an Oracle database to process and store customer information The company wants to use an AWS database service to achieve higher availability and to improve application performance. The company also wants to offload reporting from its primary database system.
Which solution will meet these requirements in the MOST operationally efficient way?
Correct Answer:
D
Amazon Aurora is a fully managed relational database that is compatible with MySQL and PostgreSQL. It provides up to five times better performance than MySQL and
up to three times better performance than PostgreSQL. It also provides high availability and durability by replicating data across multiple Availability Zones and continuously backing up data to Amazon S31. By using Amazon RDS deployed in a Multi-AZ instance deployment
to create an Amazon Aurora database, the solution can achieve higher availability and improve application performance.
Amazon Aurora supports read replicas, which are separate instances that share the same underlying storage as the primary instance. Read replicas can be used to offload read-only queries from the primary instance and improve performance. Read replicas can also be used for reporting functions2. By directing the reporting functions to the reader instances, the solution can offload reporting from its primary database system.
* A. Use AWS Database Migration Service (AWS DMS) to create an Amazon RDS DB instance in multiple AWS Regions Point the reporting functions toward a separate DB instance from the pri-mary DB instance. This solution will not meet the requirement of using an AWS database service, as AWS DMS is a service that helps users migrate databases to AWS, not a database service itself. It also involves creating multiple DB instances in different Regions, which may increase complexity and cost.
* B. Use Amazon RDS in a Single-AZ deployment to create an Oracle database Create a read replica in the same zone as the primary DB instance. Direct the reporting functions to the read replica. This solution will not meet the requirement of achieving higher availability, as a Single-AZ deployment does not provide failover protection in case of an Availability Zone outage. It also involves using Oracle as the database engine, which may not provide better performance than Aurora.
* C. Use Amazon RDS deployed in a Multi-AZ cluster deployment to create an Oracle database Di-rect the reporting functions to use the reader instance in the cluster deployment. This solution will not meet the requirement of improving application performance, as Oracle may not provide better performance than Aurora. It also involves using a cluster deployment, which is only supported for Aurora, not for Oracle. Reference URL: https://aws.amazon.com/rds/aurora/
- (Topic 4)
The following IAM policy is attached to an IAM group. This is the only policy applied to the group.
Correct Answer:
D
This answer is correct because it reflects the effect of the IAM policy on the group members. The policy has two statements: one with an Allow effect and one with a Deny effect. The Allow statement grants permission to perform any EC2 action on any resource within the us-east-1 Region. The Deny statement overrides the Allow statement and denies permission to perform the ec2:StopInstances and ec2:TerminateInstances actions on any resource within the us-east-1 Region, unless the group member is logged in with MFA. Therefore, the group members can perform any EC2 action except stopping or terminating instances in the us-east-1 Region, unless they use MFA.