SOLUTIONS ARCHITECT ASSOCIATE - 38

A company has a web application that runs 24*7 in the production environment. The development team at the company runs a clone of the same application in the dev environment for up to 8 hours every day. The company wants to build the MOST cost-optimal solution by deploying these applications using the best-fit pricing options for EC2 instances. What would you recommend?. Use reserved EC2 instances for the production application and on-demand instances for the dev application. Use reserved EC2 instances for the production application and spot block instances for the dev application. Use reserved EC2 instances for the production application and spot instances for the dev application. Use on-demand EC2 instances for the production application and spot instances for the dev application.

A retail company has set up a Network Load Balancer (NLB) having a target group that is configured to use an Amazon EC2 Auto Scaling group with multiple EC2 instances (across 3 Availability Zones) that run the web service. The company is getting poor feedback from its customers regarding the application's availability as the NLB is unable to detect HTTP errors for the application. These HTTP errors require a manual restart of the EC2 instances that run the web service. The company has hired you as an AWS Certified Solutions Architect Associate to build the best-fit solution that does not require custom development/scripting effort. Which of the following will you suggest?. Replace the Network Load Balancer (NLB) with an Application Load Balancer (ALB) and configure HTTP health checks on the ALB by pointing to the URL of the application. Leverage the Auto Scaling group to replace unhealthy instances. Set up a CloudWatch alarm to monitor the UnhealthyHostCount metric for the NLB. Leverage the Auto Scaling group to replace unhealthy instances when the alarm is in the ALARM state. Configure HTTP health checks on the Network Load Balancer (NLB) by pointing to the URL of the application. Leverage the Auto Scaling group to replace unhealthy instances. Set up a cron job on the EC2 instances to inspect the web application's logs at a regular frequency. When HTTP errors are detected, force an application restart.

A research group needs a fleet of EC2 instances for a specialized task that must deliver high random I/O performance. Each instance in the fleet would have access to a dataset that is replicated across the instances. Because of the resilient application architecture, the specialized task would continue to be processed even if any instance goes down, as the underlying application architecture would ensure the replacement instance has access to the required dataset. Which of the following options is the MOST cost-optimal and resource-efficient solution to build this fleet of EC2 instances?. Use Instance Store based EC2 instances. Use EBS based EC2 instances. Use EC2 instances with EFS mount points. Use EC2 instances with access to S3 based storage.

A company runs a data processing workflow that takes about 60 minutes to complete. The workflow can withstand disruptions and it can be started and stopped multiple times. Which is the most cost-effective solution to build a solution for the workflow?. Use EC2 spot instances to run the workflow processes. Use AWS Lambda function to run the workflow processes. Use EC2 on-demand instances to run the workflow processes. Use EC2 reserved instances to run the workflow processes.

The engineering team at an e-commerce company wants to establish a dedicated, encrypted, low latency, and high throughput connection between its data center and AWS Cloud. The engineering team has set aside sufficient time to account for the operational overhead of establishing this connection. As a solutions architect, which of the following solutions would you recommend to the company?. Use AWS Direct Connect plus VPN to establish a connection between the data center and AWS Cloud. Use site-to-site VPN to establish a connection between the data center and AWS Cloud. Use VPC transit gateway to establish a connection between the data center and AWS Cloud. Use AWS Direct Connect to establish a connection between the data center and AWS Cloud.

The flagship application for a gaming company connects to an Amazon Aurora database and the entire technology stack is currently deployed in the United States. Now, the company has plans to expand to Europe and Asia for its operations. It needs the games table to be accessible globally but needs the users and games_played tables to be regional only. How would you implement this with minimal application refactoring?. Use an Amazon Aurora Global Database for the games table and use Amazon Aurora for the users and games_played tables. Use an Amazon Aurora Global Database for the games table and use DynamoDB tables for the users and games_played tables. Use a DynamoDB global table for the games table and use Amazon Aurora for the users and games_played tables. Use a DynamoDB global table for the games table and use DynamoDB tables for the users and games_played tables.

A company uses DynamoDB as a data store for various kinds of customer data, such as user profiles, user events, clicks, and visited links. Some of these use-cases require a high request rate (millions of requests per second), low predictable latency, and reliability. The company now wants to add a caching layer to support high read volumes. As a solutions architect, which of the following AWS services would you recommend as a caching layer for this use-case? (Select two). DynamoDB Accelerator (DAX). ElastiCache. RDS. Elasticsearch. Redshift.

A software engineering intern at an e-commerce company is documenting the process flow to provision EC2 instances via the Amazon EC2 API. These instances are to be used for an internal application that processes HR payroll data. He wants to highlight those volume types that cannot be used as a boot volume. Can you help the intern by identifying those storage volume types that CANNOT be used as boot volumes while creating the instances? (Select two). Throughput Optimized HDD (st1). Cold HDD (sc1). General Purpose SSD (gp2). Provisioned IOPS SSD (io1). Instance Store.

A leading carmaker would like to build a new car-as-a-sensor service by leveraging fully serverless components that are provisioned and managed automatically by AWS. The development team at the carmaker does not want an option that requires the capacity to be manually provisioned, as it does not want to respond manually to changing volumes of sensor data. Given these constraints, which of the following solutions is the BEST fit to develop this car-as-a-sensor service?. Ingest the sensor data in an Amazon SQS standard queue, which is polled by a Lambda function in batches and the data is written into an auto-scaled DynamoDB table for downstream processing. Ingest the sensor data in Kinesis Data Firehose, which directly writes the data into an auto-scaled DynamoDB table for downstream processing. Ingest the sensor data in an Amazon SQS standard queue, which is polled by an application running on an EC2 instance and the data is written into an auto-scaled DynamoDB table for downstream processing. Ingest the sensor data in a Kinesis Data Streams, which is polled by an application running on an EC2 instance and the data is written into an auto-scaled DynamoDB table for downstream processing.

A US-based healthcare startup is building an interactive diagnostic tool for COVID-19 related assessments. The users would be required to capture their personal health records via this tool. As this is sensitive health information, the backup of the user data must be kept encrypted in S3. The startup does not want to provide its own encryption keys but still wants to maintain an audit trail of when an encryption key was used and by whom. Which of the following is the BEST solution for this use-case?. Use SSE-KMS to encrypt the user data on S3. Use SSE-S3 to encrypt the user data on S3. Use SSE-C to encrypt the user data on S3. Use client-side encryption with client provided keys and then upload the encrypted user data to S3.

The development team at an e-commerce startup has set up multiple microservices running on EC2 instances under an Application Load Balancer. The team wants to route traffic to multiple back-end services based on the URL path of the HTTP header. So it wants requests for https://www.example.com/orders to go to a specific microservice and requests for https://www.example.com/products to go to another microservice. Which of the following features of Application Load Balancers can be used for this use-case?. Path-based Routing. Query string parameter-based routing. HTTP header-based routing. Host-based Routing.

A media agency stores its re-creatable assets on Amazon S3 buckets. The assets are accessed by a large number of users for the first few days and the frequency of access falls down drastically after a week. Although the assets would be accessed occasionally after the first week, but they must continue to be immediately accessible when required. The cost of maintaining all the assets on S3 storage is turning out to be very expensive and the agency is looking at reducing costs as much as possible. As a Solutions Architect, can you suggest a way to lower the storage costs while fulfilling the business requirements?. Configure a lifecycle policy to transition the objects to Amazon S3 One Zone-Infrequent Access (S3 One Zone-IA) after 30 days. Configure a lifecycle policy to transition the objects to Amazon S3 Standard-Infrequent Access (S3 Standard-IA) after 7 days. Configure a lifecycle policy to transition the objects to Amazon S3 One Zone-Infrequent Access (S3 One Zone-IA) after 7 days. Configure a lifecycle policy to transition the objects to Amazon S3 Standard-Infrequent Access (S3 Standard-IA) after 30 days.

A financial services company uses Amazon GuardDuty for analyzing its AWS account metadata to meet the compliance guidelines. However, the company has now decided to stop using GuardDuty service. All the existing findings have to be deleted and cannot persist anywhere on AWS Cloud. Which of the following techniques will help the company meet this requirement?. Disable the service in the general settings. Suspend the service in the general settings. De-register the service under services tab. Raise a service request with Amazon to completely delete the data from all their backups.

A retail company's dynamic website is hosted using on-premises servers in its data center in the United States. The company is launching its website in Asia, and it wants to optimize the website loading times for new users in Asia. The website's backend must remain in the United States. The website is being launched in a few days, and an immediate solution is needed. What would you recommend?. Use Amazon CloudFront with a custom origin pointing to the on-premises servers. Use Amazon CloudFront with a custom origin pointing to the DNS record of the website on Route 53. Migrate the website to Amazon S3. Use cross-Region replication between AWS Regions in the US and Asia. Leverage a Route 53 geo-proximity routing policy pointing to on-premises servers.

The engineering team at a data analytics company has observed that its flagship application functions at its peak performance when the underlying EC2 instances have a CPU utilization of about 50%. The application is built on a fleet of EC2 instances managed under an Auto Scaling group. The workflow requests are handled by an internal Application Load Balancer that routes the requests to the instances. As a solutions architect, what would you recommend so that the application runs near its peak performance state?. Configure the Auto Scaling group to use target tracking policy and set the CPU utilization as the target metric with a target value of 50%. Configure the Auto Scaling group to use step scaling policy and set the CPU utilization as the target metric with a target value of 50%. Configure the Auto Scaling group to use simple scaling policy and set the CPU utilization as the target metric with a target value of 50%. Configure the Auto Scaling group to use a Cloudwatch alarm triggered on a CPU utilization threshold of 50%.

The engineering team at an in-home fitness company is evaluating multiple in-memory data stores with the ability to power its on-demand, live leaderboard. The company's leaderboard requires high availability, low latency, and real-time processing to deliver customizable user data for the community of users working out together virtually from the comfort of their home. As a solutions architect, which of the following solutions would you recommend? (Select two). Power the on-demand, live leaderboard using ElastiCache Redis as it meets the in-memory, high availability, low latency requirements. Power the on-demand, live leaderboard using DynamoDB with DynamoDB Accelerator (DAX) as it meets the in-memory, high availability, low latency requirements. Power the on-demand, live leaderboard using AWS Neptune as it meets the in-memory, high availability, low latency requirements. Power the on-demand, live leaderboard using DynamoDB as it meets the in-memory, high availability, low latency requirements. Power the on-demand, live leaderboard using RDS Aurora as it meets the in-memory, high availability, low latency requirements.

As part of a pilot program, a biotechnology company wants to integrate data files from its on-premises analytical application with AWS Cloud via an NFS interface. Which of the following AWS service is the MOST efficient solution for the given use-case?. AWS Storage Gateway - File Gateway. AWS Storage Gateway - Volume Gateway. AWS Storage Gateway - Tape Gateway. AWS Site-to-Site VPN.

A geological research agency maintains the seismological data for the last 100 years. The data has a velocity of 1GB per minute. You would like to store the data with only the most relevant attributes to build a predictive model for earthquakes. What AWS services would you use to build the most cost-effective solution with the LEAST amount of infrastructure maintenance?. Ingest the data in Kinesis Data Firehose and use an intermediary Lambda function to filter and transform the incoming stream before the output is dumped on S3. Ingest the data in Kinesis Data Analytics and use SQL queries to filter and transform the data before writing to S3. Ingest the data in Kinesis Data Streams and use an intermediary Lambda function to filter and transform the incoming stream before the output is dumped on S3. Ingest the data in a Spark Streaming Cluster on EMR use Spark Streaming transformations before writing to S3.

A junior scientist working with the Deep Space Research Laboratory at NASA is trying to upload a high-resolution image of a nebula into Amazon S3. The image size is approximately 3GB. The junior scientist is using S3 Transfer Acceleration (S3TA) for faster image upload. It turns out that S3TA did not result in an accelerated transfer. Given this scenario, which of the following is correct regarding the charges for this image transfer?. The junior scientist does not need to pay any transfer charges for the image upload. The junior scientist only needs to pay S3TA transfer charges for the image upload. The junior scientist only needs to pay S3 transfer charges for the image upload. The junior scientist needs to pay both S3 transfer charges and S3TA transfer charges for the image upload.

The product team at a startup has figured out a market need to support both stateful and stateless client-server communications via the APIs developed using its platform. You have been hired by the startup as a solutions architect to build a solution to fulfill this market need using AWS API Gateway. Which of the following would you identify as correct?. API Gateway creates RESTful APIs that enable stateless client-server communication and API Gateway also creates WebSocket APIs that adhere to the WebSocket protocol, which enables stateful, full-duplex communication between client and server. API Gateway creates RESTful APIs that enable stateful client-server communication and API Gateway also creates WebSocket APIs that adhere to the WebSocket protocol, which enables stateful, full-duplex communication between client and server. API Gateway creates RESTful APIs that enable stateless client-server communication and API Gateway also creates WebSocket APIs that adhere to the WebSocket protocol, which enables stateless, full-duplex communication between client and server. API Gateway creates RESTful APIs that enable stateful client-server communication and API Gateway also creates WebSocket APIs that adhere to the WebSocket protocol, which enables stateless, full-duplex communication between client and server.