Question # 1
| A company is building a serverless application to process clickstream data from its website.
The clickstream data is sent to an Amazon Kinesis Data Streams data stream from the
application web servers.
The company wants to enrich the clickstream data by joining the clickstream data with
customer profile data from an Amazon Aurora Multi-AZ database. The company wants to
use Amazon Redshift to analyze the enriched data. The solution must be highly available.
Which solution will meet these requirements? | | A. Use an AWS Lambda function to process and enrich the clickstream data. Use the same
Lambda function to write the clickstream data to Amazon S3. Use Amazon Redshift
Spectrum to query the enriched data in Amazon S3. | | B. Use an Amazon EC2 Spot Instance to poll the data stream and enrich the clickstream
data. Configure the EC2 instance to use the COPY command to send the enriched results
to Amazon Redshift. | | C. Use an Amazon Elastic Container Service (Amazon ECS) task with AWS Fargate Spot
capacity to poll the data stream and enrich the clickstream data. Configure an Amazon EC2
instance to use the COPY command to send the enriched results to Amazon Redshift. | | D. Use Amazon Kinesis Data Firehose to load the clickstream data from Kinesis Data
Streams to Amazon S3. Use AWS Glue crawlers to infer the schema and populate the
AWS Glue Data Catalog. Use Amazon Athena to query the raw data in Amazon S3. |
A. Use an AWS Lambda function to process and enrich the clickstream data. Use the same
Lambda function to write the clickstream data to Amazon S3. Use Amazon Redshift
Spectrum to query the enriched data in Amazon S3.
Explanation:
Option A is the best solution as it leverages AWS Lambda for serverless, scalable, and
highly available processing and enrichment of clickstream data. Lambda can process the
data in real-time, join it with the Aurora database data, and write the enriched results to
Amazon S3. From S3, Amazon Redshift Spectrum can directly query the enriched data
without needing to load the data into Redshift, enabling cost efficiency and high availability.
Question # 2
A company wants to improve its ability to clone large amounts of production data into a test environment in the same AWS Region. The data is stored in Amazon EC2 instances on Amazon Elastic Block Store (Amazon EBS) volumes. Modifications to the cloned data must not affect the production environment. The software that accesses this data requires consistently high I/O performance.
A solutions architect needs to minimize the time that is required to clone the production data into the test environment.
Which solution will meet these requirements? | | A. Take EBS snapshots of the production EBS volumes. Restore the snapshots onto EC2 instance store volumes in the test environment. | | B. Configure the production EBS volumes to use the EBS Multi-Attach feature. Take EBS snapshots of the production EBS volumes. Attach the production EBS volumes to the EC2 instances in the test environment. | | C. Take EBS snapshots of the production EBS volumes. Create and initialize new EBS volumes. Attach the new EBS volumes to EC2 instances in the test environment before restoring the volumes from the production EBS snapshots. | | D. Take EBS snapshots of the production EBS volumes. Turn on the EBS fast snapshot restore feature on the EBS snapshots. Restore the snapshots into new EBS volumes. Attach the new EBS volumes to EC2 instances in the test environment. |
C. Take EBS snapshots of the production EBS volumes. Create and initialize new EBS volumes. Attach the new EBS volumes to EC2 instances in the test environment before restoring the volumes from the production EBS snapshots.
Explanation: To clone the production data into the test environment with high I/O performance and without affecting the production environment, the best option is to take EBS snapshots of the production EBS volumes and restore them onto new EBS volumes in the test environment. Then, attach the new EBS volumes to EC2 instances in the test environment. This option minimizes the time required to clone the data and ensures that modifications to the cloned data do not affect the production environment. Therefore, option C is the correct answer.
Question # 3
| A company has an AWS Lambda function that needs read access to an Amazon S3 bucket that is located in the same AWS account. Which solution will meet these requirement in the MOST secure manner? | | A. Apply an S3 bucket pokey that grants road access to the S3 bucket | | B. Apply an IAM role to the Lambda function Apply an IAM policy to the role to grant read access to the S3 bucket | | C. Embed an access key and a secret key In the Lambda function's coda to grant the required IAM permissions for read access to the S3 bucket | | D. Apply an IAM role to the Lambda function. Apply an IAM policy to the role to grant read access to all S3 buckets In the account |
B. Apply an IAM role to the Lambda function Apply an IAM policy to the role to grant read access to the S3 bucket
Explanation:
This option is the most secure because it follows the principle of least privilege and grants only the necessary permissions to the Lambda function without exposing any credentials in the code. The IAM role can be configured as the Lambda function’s execution role and the IAM policy can specify the S3 bucket ARN and the s3:GetObject action12. Option A is less secure because it grants read access to any principal that has access to the S3 bucket, which could be more than the Lambda function. Option C is less secure because it embeds credentials in the code, which could be compromised or exposed. Option D is less secure because it grants read access to all S3 buckets in the account, which could be more than what the Lambda function needs.
Question # 4
| A company has created a multi-tier application for its ecommerce website. The website
uses an Application Load Balancer that resides in the public subnets, a web tier in the
public subnets, and a MySQL cluster hosted on Amazon EC2 instances in the private
subnets. The MySQL database needs to retrieve product catalog and pricing information
that is hosted on the internet by a third-party provider. A solutions architect must devise a
strategy that maximizes security without increasing operational overhead.
What should the solutions architect do to meet these requirements? | | A. Deploy a NAT instance in the VPC. Route all the internet-based traffic through the NAT
instance. | | B. Deploy a NAT gateway in the public subnets. Modify the private subnet route table to
direct all internet-bound traffic to the NAT gateway. | | C. Configure an internet gateway and attach it to the VPC. Modify the private subnet route
table to direct internet-bound traffic to the internet gateway. | | D. Configure a virtual private gateway and attach it to the VPC. Modify the private subnet
route table to direct internet-bound traffic to the virtual private gateway. |
B. Deploy a NAT gateway in the public subnets. Modify the private subnet route table to
direct all internet-bound traffic to the NAT gateway.
Explanation: To allow the MySQL database in the private subnets to access the internet
without exposing it to the public, a NAT gateway is a suitable solution. A NAT gateway
enables instances in a private subnet to connect to the internet or other AWS services, but
prevents the internet from initiating a connection with those instances. A NAT gateway
resides in the public subnets and can handle high throughput of traffic with low latency. A
NAT gateway is also a managed service that does not require any operational overhead.
Question # 5
| A company is developing a real-time multiplayer game that uses UDP for communications between the client and servers In an Auto Scaling group Spikes in demand are anticipated during the day, so the game server platform must adapt accordingly Developers want to store gamer scores and other non-relational data in a database solution that will scale without intervention
Which solution should a solutions architect recommend? | | A. Use Amazon Route 53 for traffic distribution and Amazon Aurora Serverless for data storage | | B. Use a Network Load Balancer for traffic distribution and Amazon DynamoDB on- demand for data storage | | C. Use a Network Load Balancer for traffic distribution and Amazon Aurora Global Database for data storage | | D. Use an Application Load Balancer for traffic distribution and Amazon DynamoDB global tables for data storage |
B. Use a Network Load Balancer for traffic distribution and Amazon DynamoDB on- demand for data storage
Explanation:
A Network Load Balancer is a type of load balancer that operates at the connection level (Layer 4) and can load balance both TCP and UDP traffic1. A Network Load Balancer is suitable for scenarios where high performance and low latency are required, such as real- time multiplayer games1. A Network Load Balancer can also handle sudden and volatile traffic patterns while using a single static IP address per Availability Zone1.
To meet the requirements of the scenario, the solutions architect should use a Network Load Balancer for traffic distribution between the EC2 instances in the Auto Scaling group. The Network Load Balancer can route UDP traffic from the client to the servers on the appropriate port2. The Network Load Balancer can also support TLS offloading for secure communications between the client and servers1.
Amazon DynamoDB is a fully managed NoSQL database service that can store and retrieve any amount of data with consistent performance and low latency3. Amazon DynamoDB on-demand is a flexible billing option that requires no capacity planning and charges only for the read and write requests that are performed on the tables3. Amazon DynamoDB on-demand is ideal for scenarios where the application traffic is unpredictable or sporadic, such as gaming applications3.
To meet the requirements of the scenario, the solutions architect should use Amazon DynamoDB on-demand for data storage. Amazon DynamoDB on-demand can store gamer scores and other non-relational data without intervention from the developers. Amazon DynamoDB on-demand can also scale automatically to handle any level of request traffic without affecting performance or availability3.
Question # 6
| A company wants to host a scalable web application on AWS. The application will be accessed by users from different geographic regions of the world. Application users will be able to download and upload unique data up to gigabytes in size. The development team wants a cost-effective solution to minimize upload and download latency and maximize performance.
What should a solutions architect do to accomplish this? | | A. Use Amazon S3 with Transfer Acceleration to host the application.
| | B. Use Amazon S3 with CacheControl headers to host the application.
| | C. Use Amazon EC2 with Auto Scaling and Amazon CloudFront to host the application.
| | D. Use Amazon EC2 with Auto Scaling and Amazon ElastiCache to host the application. |
C. Use Amazon EC2 with Auto Scaling and Amazon CloudFront to host the application.
Explanation:
This answer is correct because it meets the requirements of hosting a scalable web application that can handle large data transfers from different geographic regions. Amazon EC2 provides scalable compute capacity for hosting web applications. Auto Scaling can automatically adjust the number of EC2 instances based on the demand and traffic patterns. Amazon CloudFront is a content delivery network (CDN) that can cache static and dynamic content at edge locations closer to the users, reducing latency and improving performance. CloudFront can also use S3 Transfer Acceleration to speed up the transfers between S3 buckets and CloudFront edge locations.
Question # 7
| A company uses Amazon EC2 instances and Amazon Elastic Block Store (Amazon EBS)
to run its self-managed database The company has 350 TB of data spread across all EBS
volumes. The company takes daily EBS snapshots and keeps the snapshots for 1 month.
The dally change rate is 5% of the EBS volumes.
Because of new regulations, the company needs to keep the monthly snapshots for 7
years. The company needs to change its backup strategy to comply with the new
regulations and to ensure that data is available with minimal administrative effort.
Which solution will meet these requirements MOST cost-effectively? | | A. Keep the daily snapshot in the EBS snapshot standard tier for 1 month Copy the
monthly snapshot to Amazon S3 Glacier Deep Archive with a 7-year retention
period. | | B. Continue with the current EBS snapshot policy. Add a new policy to move the monthly
snapshot to Amazon EBS Snapshots Archive with a 7-year retention period. | | C. Keep the daily snapshot in the EBS snapshot standard tier for 1 month Keep the
monthly snapshot in the standard tier for 7 years Use incremental snapshots. | | D. Keep the daily snapshot in the EBS snapshot standard tier. Use EBS direct APIs to take
snapshots of all the EBS volumes every month. Store the snapshots in an Amazon S3
bucket in the Infrequent Access tier for 7 years. |
B. Continue with the current EBS snapshot policy. Add a new policy to move the monthly
snapshot to Amazon EBS Snapshots Archive with a 7-year retention period.
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