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| Section | Weight | Objectives |
|---|
| Topic 1: Cost Control | 18.5% | - Reserved capacity planning
- 1. Savings Plans
- 2. Capacity Reservations
- 3. Reserved Instances
- Rightsizing recommendations - Cost optimization strategies
- 1. Cost allocation tags
- 2. AWS Budgets
- 3. Cost categories
- 4. AWS Cost Explorer
- Monitoring and controlling costs
- 1. Anomaly detection
- 2. Budget alerts
- Resource efficiency
- 1. Managed services
- 2. Auto Scaling
- 3. Serverless optimization
|
| Topic 2: Migration Planning | 15% | - Migration strategies
- 1. Rehosting (lift-and-shift)
- 2. Hybrid migration
- 3. Repurchasing
- 4. Refactoring
- 5. Replatforming
- Data migration considerations
- 1. Snow family devices
- 2. Large-scale data transfer
- Migration tools and services
- 1. AWS Transfer Family
- 2. AWS Server Migration Service
- 3. AWS DataSync
- 4. AWS Application Migration Service
- 5. AWS Migration Hub
- Validation and testing post-migration
|
| Topic 3: Design for Organizational Complexity | 12.5% | - Multi-account AWS environments - Networks
- 1. AWS Direct Connect
- 2. VPN connections
- 3. Hybrid DNS architecture
- 4. AWS Transit Gateway
- Cross-account strategies and AWS organizations
- 1. Organizational Units (OUs)
- 2. Service Control Policies (SCPs)
- 3. AWS Control Tower
|
| Topic 4: Continuous Improvement for Existing Solutions | 23% | - Reviewing existing architectures
- 1. Cost optimization pillar
- 2. Security pillar
- 3. Performance efficiency pillar
- 4. Operational excellence pillar
- 5. AWS Well-Architected Framework
- 6. Reliability pillar
- Operational excellence improvements
- 1. CI/CD pipelines
- 2. Monitoring and logging (CloudWatch)
- 3. Infrastructure as Code (CloudFormation, Terraform)
- Security hardening
- 1. Security monitoring
- 2. Identity and access management
- 3. Encryption strategies
- Modernization strategies
- 1. Containerization
- 2. Re-architecting monolithic applications
- 3. Serverless transformation
- Performance optimization
- 1. CDN implementation
- 2. Database optimization
- 3. Caching strategies (CloudFront, ElastiCache)
|
| Topic 5: Design for New Solutions | 31% | - Cost optimization at design phase
- 1. Spot instances
- 2. Right-sizing resources
- 3. Reserved Instances and Savings Plans
- Database migration
- 1. AWS DMS (Database Migration Service)
- 2. Schema Conversion Tool (SCT)
- 3. Database types and selection
- Network design
- 1. Network segmentation
- 2. Subnet planning
- 3. VPC architecture
- 4. Security groups and NACLs
- Microservices patterns
- 1. Serverless architectures (Lambda)
- 2. Containers and ECS/EKS
- 3. Event-driven architecture
- Cloud Adoption Readiness
- 1. Migration strategy assessment
- 2. 6 Rs of migration
- Multi-tier architecture
- 1. Data tier considerations
- 2. Web tier design
- 3. Application tier
- High availability and fault tolerance
- 1. Disaster recovery strategies
- 2. Backup and restore
- 3. Multi-AZ deployments
|
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SAP-C02 Exam Preparation: AWS Certified Solutions Architect - Professional (SAP-C02) & SAP-C02 Best Questions
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Amazon AWS Certified Solutions Architect - Professional (SAP-C02) Sample Questions (Q810-Q815):
NEW QUESTION # 810
A data analytics company has an Amazon Redshift cluster that consists of several reserved nodes. The duster is experiencing unexpected bursts of usage because a team of employees is compiling a deep audit analysis report. The queries to generate the report are complex read queries and are CPU intensive.
Business requirements dictate that the cluster must be able to service read and write queries at at) times A solutions architect must devise a solution that accommodates the bursts of usage
Which solution meets these requirements MOST cost-effectively?
- A. Turn on the Concurrency Scaling feature for the Amazon Redshift duster
- B. Provision an Amazon EMR duster Offload the complex data processing tasks
- C. Deploy an AWS Lambda function to add capacity to the Amazon Redshift duster by using an elastic resize operation when the duster's CPU metrics in Amazon CloudWatch leach 80%.
- D. Deploy an AWS Lambda function to add capacity to the Amazon Redshift cluster by using a classic resize operation when the duster's CPU metrics in Amazon CloudWatch reach 80%.
Answer: A
NEW QUESTION # 811
A company runs its application in the eu-west-1 Region and has one account for each of its environments development, testing, and production All the environments are running 24 hours a day 7 days a week by using stateful Amazon EC2 instances and Amazon RDS for MySQL databases The databases are between 500 GB and 800 GB in size The development team and testing team work on business days during business hours, but the production environment operates 24 hours a day. 7 days a week. The company wants to reduce costs AH resources are tagged with an environment tag with either development, testing, or production as the key.
What should a solutions architect do to reduce costs with the LEAST operational effort?
- A. Create an Amazon EventBridge rule that runs every hour. Configure the rule to invoke one AWS Lambda function that terminates or restores instances from their last backup based on the tag. day, and time.
- B. Create an Amazon EventBridge (Amazon CloudWatch Events) rule that runs once every day Configure the rule to invoke one AWS Lambda function that starts or stops instances based on the tag day and time.
- C. Create an Amazon EventBridge (Amazon CloudWatch Events) rule that runs every business day in the evening Configure the rule to invoke an AWS Lambda function that terminates instances based on the tag Create a second EventBridge (CloudWatch Events) rule that runs every business day in the morning Configure the second rule to invoke another Lambda function that restores the instances from their last backup based on the tag.
- D. Create an Amazon EventBridge (Amazon CloudWatch Events) rule that runs every business day in the evening. Configure the rule to invoke an AWS Lambda function that stops instances based on the tag-Create a second EventBridge (CloudWatch Events) rule that runs every business day in the morning Configure the second rule to invoke another Lambda function that starts instances based on the tag
Answer: D
Explanation:
Explanation
Creating an Amazon EventBridge rule that runs every business day in the evening to stop instances and another rule that runs every business day in the morning to start instances based on the tag will reduce costs with the least operational effort. This approach allows for instances to be stopped during non-business hours when they are not in use, reducing the costs associated with running them. It also allows for instances to be started again in the morning when the development and testing teams need to use them.
NEW QUESTION # 812
A solutions architect must provide a secure way for a team of cloud engineers to use the AWS CLI to upload objects into an Amazon S3 bucket Each cloud engineer has an IAM user. IAM access keys and a virtual multi-factor authentication (MFA) device The IAM users for the cloud engineers are in a group that is named S3-access The cloud engineers must use MFA to perform any actions in Amazon S3 Which solution will meet these requirements?
- A. Attach a policy to the S3-access group to deny all S3 actions unless MFA is present Use 1AM access keys with the AWS CLI to call Amazon S3
- B. Attach a policy to the S3-access group to deny all S3 actions unless MFA is present Request temporary credentials from AWS Security Token Service (AWS STS) Attach the temporary credentials in a profile that Amazon S3 will reference when the user performs actions in Amazon S3
- C. Update the trust policy for the S3-access group to require principals to use MFA when principals assume the group Use 1AM access keys with the AWS CLI to call Amazon S3
- D. Attach a policy to the S3 bucket to prompt the 1AM user for an MFA code when the 1AM user performs actions on the S3 bucket Use 1AM access keys with the AWS CLI to call Amazon S3
Answer: B
Explanation:
The company should attach a policy to the S3-access group to deny all S3 actions unless MFA is present. The company should request temporary credentials from AWS Security Token Service (AWS STS). The company should attach the temporary credentials in a profile that Amazon S3 will reference when the user performs actions in Amazon S3. This solution will meet the requirements because AWS STS is a service that enables you to request temporary, limited-privilege credentials for IAM users or for users that you authenticate (federated users). You can use MFA with AWS STS to provide an extra layer of security when requesting temporary credentials1. You can use the sts get-session-token AWS CLI command to request temporary credentials that include an MFA token2. You can then use these credentials with the AWS CLI to access Amazon S3 resources. To do this, you need to attach a policy to the IAM group that denies all S3 actions unless MFA is present3. You also need to create a profile in the AWS CLI configuration file that references the temporary credentials.
The other options are not correct because:
Attaching a policy to the S3 bucket to prompt the IAM user for an MFA code when the IAM user performs actions on the S3 bucket would not work because policies attached to S3 buckets cannot enforce MFA authentication. Policies attached to S3 buckets are resource-based policies that define what actions can be performed on the bucket and by whom. They do not have any logic to prompt for an MFA code or verify it.
Updating the trust policy for the S3-access group to require principals to use MFA when principals assume the group would not work because trust policies are used for roles, not groups. Trust policies are policies that define which principals can assume a role. They do not apply to groups, which are collections of IAM users that share permissions.
Creating an Amazon Route 53 Resolver DNS Firewall domain list that contains the allowed domains and configuring a DNS Firewall rule group with rules to allow or block requests based on the domain list would not help with enforcing MFA authentication for Amazon S3 actions. Amazon Route 53 Resolver DNS Firewall is a feature that enables you to filter and regulate outbound DNS traffic for your VPC. You can create reusable collections of filtering rules in DNS Firewall rule groups and associate them with your VPCs. You can specify lists of domain names to allow or block, and you can customize the responses for the DNS queries that you block. This feature is useful for controlling access to sites and blocking DNS-level threats, but not for requiring MFA authentication.
References:
https://docs.aws.amazon.com/IAM/latest/UserGuide/id_credentials_temp.html
https://docs.aws.amazon.com/IAM/latest/UserGuide/id_credentials_mfa_enable_cliapi.html
https://docs.aws.amazon.com/IAM/latest/UserGuide/id_credentials_mfa_sample-policies.html
https://docs.aws.amazon.com/cli/latest/userguide/cli-configure-profiles.html
https://docs.aws.amazon.com/Route53/latest/DeveloperGuide/resolver-dns-firewall.html
NEW QUESTION # 813
A company that runs applications on AWS recently subscribed to a new software-as-a-service (SaaS) data vendor. The vendor provides the data by way of a REST API that the vendor hosts in its AWS environment. The vendor offers multiple options for connectivity to the API and is working with the company to find the best way to connect. The company's AWS account does not allow outbound internet access from its AWS environment. The vendor's services run on AWS in the same AWS Region as me company's applications. A solutions architect must implement connectivity to the vendor's API so that the API is highly available in the company's VPC.
Which solution will meet these requirements?
- A. Connect to the vendor by way of a VPC endpoint service that uses AWS PrivateLink
- B. Connect o the vendor's public API address for the data service
- C. Connect o the vendor by way of a VPC peering connection between the vendor's VPC and the company's VPC
- D. Connect to a public bastion host that the vendor provides. Tunnel the API traffic.
Answer: A
Explanation:
With AWS PrivateLink, you can create an endpoint within your Amazon Virtual Private Cloud (Amazon VPC) that provides access to SaaS applications over a secure, private connection that eliminates the exposure of private data to the public internet.
https://aws.amazon.com/blogs/apn/using-aws-privatelink-integrations-to-access-saas-solutions- from-apn- partners/#:~:text=With%20AWS%20PrivateLink%2C%20you%20can,data%20to%20the%20publi c%20internet.
NEW QUESTION # 814
A solutions architect is designing the data storage and retrieval architecture for a new application that a company will be launching soon. The application is designed to ingest millions of small records per minute from devices all around the world. Each record is less than 4 KB in size and needs to be stored in a durable location where it can be retrieved with low latency. The data is ephemeral and the company is required to store the data for 120 days only, after which the data can be deleted.
The solutions architect calculates that, during the course of a year, the storage requirements would be about
10-15 TB.
Which storage strategy is the MOST cost-effective and meets the design requirements?
- A. Design the application to store each incoming record in an Amazon DynamoDB table properly configured for the scale. Configure the DynamoOB Time to Live (TTL) feature to delete records older than 120 days.
- B. Design the application to store each incoming record in a single table in an Amazon RDS MySQL database. Run a nightly cron job that executes a query to delete any records older than 120 days.
- C. Design the application to batch incoming records before writing them to an Amazon S3 bucket. Update the metadata for the object to contain the list of records in the batch and use the Amazon S3 metadata search feature to retrieve the data. Configure a lifecycle policy to delete the data after 120 days.
- D. Design the application to store each incoming record as a single .csv file in an Amazon S3 bucket to allow for indexed retrieval. Configure a lifecycle policy to delete data older than 120 days.
Answer: A
Explanation:
DynamoDB with TTL, cheaper for sustained throughput of small items + suited for fast retrievals. S3 cheaper for storage only, much higher costs with writes. RDS not designed for this use case.
NEW QUESTION # 815
......
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