Domain 3.5: Cost Optimization

A company has hundreds of underutilized Amazon EBS volumes. They want to identify these volumes and automatically snapshot and delete them to optimize costs. Which service combination should be used?

A data engineering team runs batch processing jobs on Amazon EMR. The jobs take several hours to complete but can be interrupted and resumed without data loss. The team wants to reduce the compute costs of these jobs by up to 90%. Which EC2 pricing model should they use for the EMR task nodes?

An application uses Amazon DynamoDB. The workload is highly unpredictable, with sudden, massive spikes in read and write traffic followed by long periods of inactivity. The architect wants to minimize costs while ensuring the application is never throttled. Which DynamoDB capacity mode should be used?

An architect is optimizing the cost of a large Amazon S3 data lake. The data lake contains petabytes of data. Data is accessed frequently for the first 30 days, occasionally for the next 60 days, and rarely after 90 days, but must be kept indefinitely for compliance. Which TWO lifecycle policies provide the MOST cost-effective solution without requiring application changes? (Select TWO)

A company wants to optimize their AWS costs. They have identified several Amazon EC2 instances that have average CPU utilization below 5% and network I/O below 1 MB over the last 30 days. They also have several Amazon RDS instances with zero database connections over the last 14 days. Which TWO AWS services can automatically identify these specific underutilized resources? (Select TWO)

An application uses Amazon S3 to store millions of images. The access pattern is highly unpredictable; some images are accessed daily, while others are not accessed for months. The company wants to optimize storage costs without incurring retrieval fees or operational overhead. Which S3 storage class is MOST appropriate?

A data engineering team is using Amazon EMR for big data processing. The clusters are transient; they spin up, process data from S3, and terminate. To optimize costs, they want to use Spot Instances. Which node type should they run on Spot Instances to minimize the risk of job failure?

A company wants to optimize their Amazon EC2 costs. They have identified several instances that have less than 5% CPU utilization over the last 30 days. They want to automatically stop these instances. Which AWS service provides the simplest way to implement this automation?

A company has 500 TB of data in an S3 Standard bucket. Access patterns are unpredictable; some objects are accessed daily, while others haven't been touched in months. How can the company optimize storage costs with the LEAST operational overhead?

An application runs on a fleet of EC2 instances. The CPU utilization averages 15%. The architect wants to right-size the instances to save costs but needs data-driven recommendations that consider CPU, memory, and network metrics. Which service provides this?

An organization is looking to identify cost optimization opportunities across their AWS accounts. They want to find unattached EBS volumes, idle RDS instances, and underutilized EC2 instances. Which THREE tools provide these insights? (Select THREE)

A company has a large fleet of Amazon EBS volumes. The finance team has noticed that EBS costs are steadily increasing. The Solutions Architect discovers that many EBS volumes are unattached, and others are attached but have had less than 1 IOPS per day for the last month. What is the MOST automated way to identify and optimize these resources?

A company has a large Amazon S3 bucket storing millions of images. They want to optimize storage costs. Some images are accessed millions of times a day, while others are never accessed after the first week. The access patterns are highly unpredictable and change daily. What is the MOST cost-effective storage strategy?

A data analytics company ingests 5 TB of telemetry data daily into Amazon S3. The data is heavily queried using Amazon Athena for the first 30 days, occasionally queried for the next 90 days, and rarely accessed thereafter, though it must be retained for 7 years for compliance. The company wants to minimize storage costs without impacting the performance of the daily analytics. Which S3 lifecycle policy is MOST cost-effective?

A data engineering team is using Amazon EMR to process large datasets. The clusters are currently running on On-Demand EC2 instances. The workloads are fault-tolerant, flexible in their completion time, and run periodically throughout the week. The team wants to significantly reduce compute costs without changing the application code. Which strategy is MOST cost-effective?

An organization is using AWS Cost Explorer and notices a significant increase in data transfer costs. Investigation reveals that EC2 instances in private subnets are downloading large amounts of data from Amazon DynamoDB and Amazon S3. The instances access these services via a NAT Gateway. How can the Architect reduce these data transfer costs MOST effectively?

A company's AWS bill has increased significantly. The architect discovers thousands of unattached EBS volumes, obsolete EBS snapshots, and underutilized EC2 instances. Which THREE AWS services or features should be used to identify and optimize these costs? (Select THREE)

An organization stores petabytes of data in Amazon S3 Standard. Access patterns are unpredictable; some data is accessed daily, while other data is untouched for months. The architect needs to optimize storage costs automatically without operational overhead or retrieval fees. Which THREE actions should be taken? (Select THREE)

A company is evaluating its AWS bill and notices high costs associated with Amazon S3. They have petabytes of data stored in the S3 Standard storage class. Access patterns vary wildly; some objects are accessed daily, while others haven't been accessed in years. The company wants to optimize costs with the LEAST operational overhead. What should they do?

A data engineering team uses Amazon EMR for big data processing. The clusters are transient; they are spun up daily, process data for 4 hours, and are then terminated. The workload is fault-tolerant and can handle node interruptions. What is the MOST cost-effective EC2 purchasing option for the EMR task nodes?

A company wants to optimize its AWS costs. They have steady-state, predictable EC2 workloads that will run continuously for the next 3 years. They want the maximum possible discount and are willing to pay entirely upfront. Which pricing model should they choose?