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Amazon SAP-C02 Exam Syllabus Topics:

Section	Weight	Objectives
Migration Planning	15%	- Migration strategies 1. Hybrid migration 2. Rehosting (lift-and-shift) 3. Replatforming 4. Refactoring 5. Repurchasing - Data migration considerations 1. Snow family devices 2. Large-scale data transfer - Migration tools and services 1. AWS Migration Hub 2. AWS Transfer Family 3. AWS Server Migration Service 4. AWS DataSync 5. AWS Application Migration Service - Validation and testing post-migration
Cost Control	18.5%	- Monitoring and controlling costs 1. Anomaly detection 2. Budget alerts - Rightsizing recommendations - Cost optimization strategies 1. AWS Cost Explorer 2. Cost allocation tags 3. AWS Budgets 4. Cost categories - Resource efficiency 1. Serverless optimization 2. Auto Scaling 3. Managed services - Reserved capacity planning 1. Capacity Reservations 2. Savings Plans 3. Reserved Instances
Design for Organizational Complexity	12.5%	- Networks 1. Hybrid DNS architecture 2. AWS Direct Connect 3. VPN connections 4. AWS Transit Gateway - Cross-account strategies and AWS organizations 1. AWS Control Tower 2. Service Control Policies (SCPs) 3. Organizational Units (OUs) - Multi-account AWS environments
Continuous Improvement for Existing Solutions	23%	- Modernization strategies 1. Serverless transformation 2. Containerization 3. Re-architecting monolithic applications - Reviewing existing architectures 1. Operational excellence pillar 2. AWS Well-Architected Framework 3. Reliability pillar 4. Security pillar 5. Cost optimization pillar 6. Performance efficiency pillar - Security hardening 1. Identity and access management 2. Security monitoring 3. Encryption strategies - Operational excellence improvements 1. Infrastructure as Code (CloudFormation, Terraform) 2. CI/CD pipelines 3. Monitoring and logging (CloudWatch) - Performance optimization 1. CDN implementation 2. Database optimization 3. Caching strategies (CloudFront, ElastiCache)
Design for New Solutions	31%	- Network design 1. Security groups and NACLs 2. Network segmentation 3. VPC architecture 4. Subnet planning - Microservices patterns 1. Event-driven architecture 2. Serverless architectures (Lambda) 3. Containers and ECS/EKS - Cloud Adoption Readiness 1. 6 Rs of migration 2. Migration strategy assessment - Multi-tier architecture 1. Data tier considerations 2. Application tier 3. Web tier design - High availability and fault tolerance 1. Multi-AZ deployments 2. Disaster recovery strategies 3. Backup and restore - Database migration 1. Schema Conversion Tool (SCT) 2. Database types and selection 3. AWS DMS (Database Migration Service) - Cost optimization at design phase 1. Reserved Instances and Savings Plans 2. Spot instances 3. Right-sizing resources

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Amazon AWS Certified Solutions Architect - Professional (SAP-C02) Sample Questions (Q548-Q553):

NEW QUESTION # 548
A company needs to monitor a growing number of Amazon S3 buckets across two AWS Regions. The company also needs to track the percentage of objects that are encrypted in Amazon S3. The company needs a dashboard to display this information for internal compliance teams.
Which solution will meet these requirements with the LEAST operational overhead?

A. Deploy an AWS Lambda function in each Region to list the number of buckets and the encryption status of objects. Store this data in Amazon S3. Use Amazon Athena queries to display the data on a custom dashboard in Amazon QuickSight for the compliance teams.
B. Create a new S3 Storage Lens dashboard in each Region to track bucket and encryption metrics.
Aggregate data from both Region dashboards into a single dashboard in Amazon QuickSight for the compliance teams.
C. Use the S3 Storage Lens default dashboard to track bucket and encryption metrics. Give the compliance teams access to the dashboard directly in the S3 console.
D. Create an Amazon EventBridge rule to detect AWS Cloud Trail events for S3 object creation. Configure the rule to invoke an AWS Lambda function to record encryption metrics in Amazon DynamoDB. Use Amazon QuickSight to display the metrics in a dashboard for the compliance teams.

Answer: C

Explanation:
This option uses the S3 Storage Lens default dashboard to track bucket and encryption metrics across two AWS Regions. S3 Storage Lens is a feature that provides organization-wide visibility into object storage usage and activity trends, and delivers actionable recommendations to improve cost-efficiency and apply data protection best practices. S3 Storage Lens delivers more than 30 storage metrics, including metrics on encryption, replication, and data protection. The default dashboard provides a summary of the entire S3 usage and activity across all Regions and accounts in an organization. The company can give the compliance teams access to the dashboard directly in the S3 console, which requires the least operational overhead.

NEW QUESTION # 549
A company has registered 10 new domain names. The company uses the domains for online marketing. The company needs a solution that will redirect online visitors to a specific URL for each domain. All domains and target URLs are defined in a JSON document. All DNS records are managed by Amazon Route 53.
A solutions architect must implement a redirect service that accepts HTTP and HTTPS requests.
Which combination of steps should the solutions architect take to meet these requirements with the LEAST amount of operational effort? (Choose three.)

A. Create an SSL certificate by using AWS Certificate Manager (ACM). Include the domains as Subject Alternative Names.
B. Create a dynamic webpage that runs on an Amazon EC2 instance. Configure the webpage to use the JSON document in combination with the event message to look up and respond with a redirect URL.
C. Use an Amazon API Gateway API with a custom domain to publish an AWS Lambda function.
D. Create an Amazon CloudFront distribution. Deploy a Lambda@Edge function.
E. Create an Application Load Balancer that includes HTTP and HTTPS listeners.
F. Create an AWS Lambda function that uses the JSON document in combination with the event message to look up and respond with a redirect URL.

Answer: A,D,F

Explanation:
https://docs.aws.amazon.com/AmazonCloudFront/latest/DeveloperGuide/lambda-edge-how-it-works-tutorial.
html

NEW QUESTION # 550
A company has an on-premises monitoring solution using a PostgreSQL database for persistence of events.
The database is unable to scale due to heavy ingestion and it frequently runs out of storage.
The company wants to create a hybrid solution and has already set up a VPN connection between its network and AWS. The solution should include the following attributes:
* Managed AWS services to minimize operational complexity
* A buffer that automatically scales to match the throughput of data and requires no on-going administration.
* A visualization toot to create dashboards to observe events in near-real time.
* Support for semi -structured JSON data and dynamic schemas.
Which combination of components will enabled company to create a monitoring solution that will satisfy these requirements'' (Select TWO.)

A. Configure an Amazon Neptune 0 DB instance to receive events Use Amazon QuickSight to read from the database and create near-real-time visualizations and dashboards
B. Configure Amazon Elasticsearch Service (Amazon ES) to receive events Use the Kibana endpoint deployed with Amazon ES to create near-real-time visualizations and dashboards.
C. Configure an Amazon Aurora PostgreSQL DB cluster to receive events Use Amazon Quick Sight to read from the database and create near-real-time visualizations and dashboards
D. Use Amazon Kinesis Data Firehose to buffer events Create an AWS Lambda function 10 process and transform events
E. Create an Amazon Kinesis data stream to buffer events Create an AWS Lambda function to process and transform evens

Answer: B,D

Explanation:
Explanation
https://aws.amazon.com/kinesis/data-firehose/faqs/

NEW QUESTION # 551
A company gives users the ability to upload images from a custom application. The upload process invokes an AWS Lambda function that processes and stores the image in an Amazon S3 bucket. The application invokes the Lambda function by using a specific function version ARN.
The Lambda function accepts image processing parameters by using environment variables. The company often adjusts the environment variables of the Lambda function to achieve optimal image processing output.
The company tests different parameters and publishes a new function version with the updated environment variables after validating results. This update process also requires frequent changes to the custom application to invoke the new function version ARN. These changes cause interruptions for users.
A solutions architect needs to simplify this process to minimize disruption to users.
Which solution will meet these requirements with the LEAST operational overhead?

A. Create a Lambda function alias. Modify the client application to use the function alias ARN.Reconfigure the Lambda alias to point to new versions of the function when the company finishes testing.
B. Directly modify the environment variables of the published Lambda function version. Use the SLATEST version to test image processing parameters.
C. Create an Amazon DynamoDB table to store the image processing parameters. Modify the Lambda function to retrieve the image processing parameters from the DynamoDB table.
D. Directly code the image processing parameters within the Lambda function and remove the environment variables. Publish a new function version when the company updates the parameters.

Answer: A

Explanation:
A Lambda function alias allows you to point to a specific version of a function and also can be updated to point to a new version of the function without modifying the client application. This way, the company can test different versions of the function with different environment variables and, once the optimal parameters are found, update the alias to point to the new version, without the need to update the client application.
By using this approach, the company can simplify the process of updating the environment variables, minimize disruption to users, and reduce the operational overhead.
Reference:
AWS Lambda documentation: https://aws.amazon.com/lambda/
AWS Lambda Aliases documentation: https://docs.aws.amazon.com/lambda/latest/dg/aliases-intro.html AWS Lambda versioning and aliases documentation: https://aws.amazon.com/blogs/compute/versioning- aliases-in-aws-lambda/

NEW QUESTION # 552
A company manufactures smart vehicles. The company uses a custom application to collect vehicle data. The vehicles use the MQTT protocol to connect to the application.
The company processes the data in 5-minute intervals. The company then copies vehicle telematics data to on-premises storage. Custom applications analyze this data to detect anomalies.
The number of vehicles that send data grows constantly. Newer vehicles generate high volumes of data. The on-premises storage solution is not able to scale for peak traffic, which results in data loss. The company must modernize the solution and migrate the solution to AWS to resolve the scaling challenges.
Which solution will meet these requirements with the LEAST operational overhead?

A. Use AWS IOT Greengrass to send the vehicle data to Amazon Managed Streaming for Apache Kafka (Amazon MSK). Create an Apache Kafka application to store the data in Amazon S3. Use a pretrained model in Amazon SageMaker to detect anomalies.
B. Use AWS IOT FleetWise to collect the vehicle data. Send the data to an Amazon Kinesis data stream.
Use an Amazon Kinesis Data Firehose delivery stream to store the data in Amazon S3. Use the built-in machine learning transforms in AWS Glue to detect anomalies.
C. Use AWS IOT Core to receive the vehicle data. Configure rules to route data to an Amazon Kinesis Data Firehose delivery stream that stores the data in Amazon S3. Create an Amazon Kinesis Data Analytics application that reads from the delivery stream to detect anomalies.
D. Use Amazon MQ for RabbitMQ to collect the vehicle data. Send the data to an Amazon Kinesis Data Firehose delivery stream to store the data in Amazon S3. Use Amazon Lookout for Metrics to detect anomalies.

Answer: C

Explanation:
Using AWS IoT Core to receive the vehicle data will enable connecting the smart vehicles to the cloud using the MQTT protocol1. AWS IoT Core is a platform that enables you to connect devices to AWS Services and other devices, secure data and interactions, process and act upon device data, and enable applications to interact with devices even when they are offline2. Configuring rules to route data to an Amazon Kinesis Data Firehose delivery stream that stores the data in Amazon S3 will enable processing and storing the vehicle data in a scalable and reliable way3. Amazon Kinesis Data Firehose is a fully managed service that delivers real-time streaming data to destinations such as Amazon S3. Creating an Amazon Kinesis Data Analytics application that reads from the delivery stream to detect anomalies will enable analyzing the vehicle data using SQL queries or Apache Flink applications. Amazon Kinesis Data Analytics is a fully managed service that enables you to process and analyze streaming data using SQL or Java.

NEW QUESTION # 553
......

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