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| Section | Weight | Objectives |
|---|
| Design Resilient Architectures | 26% | - Design scalable and loosely coupled architectures
- 1. Amazon SQS and SNS
- 2. Amazon API Gateway
- 3. Auto Scaling groups
- 4. Amazon EventBridge
- 5. Elastic Load Balancing
- Design highly available and/or fault-tolerant architectures
- 1. Disaster recovery strategies (backup/restore, pilot light, warm standby, multi-site)
- 2. AWS Global Accelerator
- 3. Amazon Route 53 routing policies
- 4. Multi-Region architectures
- 5. Multi-AZ deployments
|
| Design Cost-Optimized Architectures | 20% | - Design cost-optimized database solutions
- 1. ElastiCache for caching
- 2. RDS Reserved Instances
- 3. Aurora Serverless
- 4. DynamoDB capacity modes (On-demand vs Provisioned)
- Design cost-optimized compute solutions
- 1. Right-sizing instances
- 2. AWS Lambda pricing model
- 3. Auto Scaling for cost optimization
- 4. EC2 purchasing options (On-Demand, Reserved, Spot, Savings Plans)
- Design cost-optimized storage solutions
- 1. S3 storage classes and lifecycle policies
- 2. EBS volume type selection
- 3. S3 Intelligent-Tiering
- 4. EFS cost optimization
- Design cost-optimized network architectures
- 1. AWS Direct Connect for cost optimization
- 2. Data transfer costs
- 3. VPC endpoints to reduce NAT costs
- 4. CloudFront to reduce origin load
|
| Design Secure Architectures | 30% | - Design secure access to AWS resources
- 1. IAM policies and roles
- 2. Multi-factor authentication (MFA)
- 3. Identity federation
- 4. AWS Organizations and SCPs
- Design secure workloads and applications
- 1. Encryption at rest and in transit
- 2. AWS WAF and Shield
- 3. AWS KMS and CloudHSM
- 4. Security groups and NACLs
- Determine appropriate data security controls
- 1. Data backup and recovery
- 2. Amazon Macie and GuardDuty
- 3. Data classification
- 4. Data encryption strategies
|
| Design High-Performing Architectures | 24% | - Determine high-performing database solutions
- 1. Amazon Redshift
- 2. Amazon RDS and Aurora
- 3. Amazon DynamoDB
- 4. Amazon ElastiCache (Redis/Memcached)
- Determine high-performing and/or scalable network architectures
- 1. AWS Global Accelerator
- 2. Amazon CloudFront
- 3. AWS Direct Connect
- 4. VPC endpoints
- 5. Amazon Route 53
- Determine high-performing and/or scalable storage solutions
- 1. Amazon S3 storage classes and lifecycle policies
- 2. Instance Store
- 3. Amazon FSx
- 4. Amazon EBS volume types
- 5. Amazon EFS
- Design high-performing and elastic compute solutions
- 1. Amazon EC2 instance types and families
- 2. AWS Elastic Beanstalk
- 3. AWS Lambda
- 4. Amazon ECS and EKS
- Determine high-performing data ingestion and transformation solutions
- 1. Amazon MSK
- 2. Amazon Kinesis
- 3. AWS Glue
- 4. AWS Data Pipeline
|
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Amazon AWS Certified Solutions Architect - Associate Sample Questions (Q530-Q535):
NEW QUESTION # 530
[Design High-Performing Architectures]
A company's infrastructure consists of Amazon EC2 instances and an Amazon RDS DB instance in a single AWS Region. The company wants to back up its data in a separate Region.
Which solution will meet these requirements with the LEAST operational overhead?
- A. Use AWS Backup to copy EC2 backups and RDS backups to the separate Region.
- B. Create Amazon Elastic Block Store (Amazon EBS) snapshots. Copy the EBS snapshots to the separate Region. Create RDS snapshots. Export the RDS snapshots to Amazon S3. Configure S3 Cross-Region Replication (CRR) to the separate Region.
- C. Create Amazon Machine Images (AMIs) of the EC2 instances. Copy the AMIs to the separate Region. Create a read replica for the RDS DB instance in the separate Region.
- D. Use Amazon Data Lifecycle Manager (Amazon DLM) to copy EC2 backups and RDS backups to the separate Region.
Answer: A
Explanation:
To back up EC2 instances and RDS DB instances in a separate Region with the least operational overhead, AWS Backup is a simple and cost-effective solution. AWS Backup can copy EC2 backups and RDS backups to another Region automatically and securely. AWS Backup also supports backup policies, retention rules, and monitoring features.
Reference:
What Is AWS Backup?
Cross-Region Backup
NEW QUESTION # 531
A company uses Amazon S3 to store its confidential audit documents. The S3 bucket uses bucket policies to restrict access to audit team IAM user credentials according to the principle of least privilege. Company managers are worried about accidental deletion of documents in the S3 bucket and want a more secure solution. What should a solutions architect do to secure the audit documents?
- A. Use AWS Key Management Service (AWS KMS) to encrypt the S3 bucket and restrict audit team IAM user accounts from accessing the KMS key.
- B. Add an S3 Lifecycle policy to the audit team's IAM user accounts to deny the s3:DeleteObject action during audit dates.
- C. Enable the versioning and MFA Delete features on the S3 bucket.
- D. Enable multi-factor authentication (MFA) on the IAM user credentials for each audit team IAM user account.
Answer: C
Explanation:
This will secure the audit documents by providing an additional layer of protection against accidental deletion. With versioning enabled, any deleted or overwritten objects in the S3 bucket will be preserved as previous versions, allowing the company to recover them if needed. With MFA Delete enabled, any delete request made to the S3 bucket will require the use of an MFA code, which provides an additional layer of security.
NEW QUESTION # 532
A company is designing an application on AWS that processes sensitive data. The application stores and processes financial data for multiple customers.
To meet compliance requirements, the data for each customer must be encrypted separately at rest by using a secure, centralized key management solution. The company wants to use AWS Key Management Service (AWS KMS) to implement encryption.
Which solution will meet these requirements with the LEAST operational overhead'?
- A. Create separate AWS KMS keys for each customer's data that have granular access control and logging enabled.
- B. Create a single AWS KMS key to encrypt all sensitive data across the application.
- C. Deploy a hardware security appliance in the AWS environment that securely stores customer-provided encryption keys. Integrate the security appliance with AWS KMS to encrypt the sensitive data in the application.
- D. Generate a unique encryption key for each customer. Store the keys in an Amazon S3 bucket. Enable server-side encryption.
Answer: A
Explanation:
This solution meets the requirement of encrypting each customer's data separately with the least operational overhead by leveraging AWS Key Management Service (KMS).
* Separate AWS KMS Keys: By creating separate KMS keys for each customer, you can ensure that each customer's data is encrypted with a unique key. This approach satisfies the compliance requirement for separate encryption and provides fine-grained control over access to the keys.
* Granular Access Control: AWS KMS allows you to define key policies and use IAM policies to grant specific permissions to the keys. This ensures that only authorized users or services can access the keys, thereby maintaining the principle of least privilege.
* Logging and Monitoring: AWS KMS integrates with AWS CloudTrail, which logs all key usage and management activities. This provides an audit trail that is essential for meeting compliance requirements.
* Why Not Other Options?:
* Option A (Store keys in S3): Storing keys in S3 is not recommended because it does not provide the same level of security, access control, or integration with AWS services as KMS does.
* Option B (Hardware security appliance): Deploying a hardware security appliance adds significant operational overhead and complexity, which is unnecessary given that KMS already provides a secure and centralized key management solution.
* Option C (Single KMS key for all data): Using a single KMS key does not meet the requirement of encrypting each customer's data separately.
AWS References:
* AWS Key Management Service (KMS) - Overview of KMS, its features, and best practices for key management.
* Using AWS KMS for Multi-Tenant Applications - Guidance on how to design applications using KMS for multi-tenancy.
NEW QUESTION # 533
A company runsmultiple applications on Amazon EC2 instances in a VPC.
Application Aruns in aprivate subnetthat has acustom route table and network ACL.
Application Bruns in asecond private subnet in the same VPC.
The companyneeds to prevent Application A from sending traffic to Application B.
Which solution will meet this requirement?
- A. Add adeny outbound ruleto thecustom network ACL for the Application B subnet. Configure the rule toprevent Application B from sending traffic to the IP addresses associated with Application A.
- B. Add adeny outbound ruleto thecustom network ACL for the Application A subnet. Configure the rule toprevent Application A from sending traffic to the IP addresses associated with Application B.
- C. Add adeny outbound ruleto asecurity group associated with Application A. onfigure the rule toprevent Application A from sending traffic to Application B.
- D. Add adeny outbound ruleto asecurity group associated with Application B. onfigure the rule toprevent Application B from sending traffic to Application A.
Answer: B
Explanation:
Comprehensive and Detailed Step-by-Step Explanation:
The requirement is toprevent Application A from sending traffic to Application B.
Understanding AWS Network Security Components:
Security Groups
Stateful(if traffic is allowed in one direction, it is automatically allowed in the reverse).
Do not support explicit deny rules, onlyallow rules.
Not suitable for blocking traffic in this scenario.
Network ACLs (NACLs)
Stateless(must define explicit rules for both inbound and outbound traffic).
Support explicit DENY rules.
Best suited for blocking traffic between subnets.
Analysis of the Options:
Option A: Deny Outbound Rule in Security Group for Application B#(Incorrect) Security Groups do not support explicit deny rules.
Does not block traffic from Application A to Application B.
Option B: Deny Outbound Rule in Security Group for Application A#(Incorrect) Security Groups do not support explicit deny rules.
Cannot effectively prevent Application A from sending traffic to Application B.
Option C: Deny Outbound Rule in NACL for Application B Subnet#(Incorrect) This wouldprevent Application B from sending traffic, butthe requirement is to block traffic from Application A to Application B.
Incorrect subnet is being modified.
Option D: Deny Outbound Rule in NACL for Application A Subnet#(Correct Choice) Prevents Application A from sending traffic to Application B by blocking outbound requests at the network level.
Effectively stops communication from A to B at the subnet level.
Why Option D is the Best Choice?
#NACLs support explicit deny rules, unlike security groups.#Blocks outbound traffic from Application A before it reaches Application B.#Works at the subnet level, making it scalable.
References:
AWS Network ACLs
NEW QUESTION # 534
A company wants to use automatic machine learning (ML) to create and visualize forecasts of complex scenarios and trends. Which solution will meet these requirements with the LEAST management overhead?
- A. Use Amazon SageMaker AI inference pipelines to create and update forecasts. Use Amazon QuickSight to visualize the combined data.
- B. Use a prebuilt ML AMI from the AWS Marketplace to create forecasts. Use Amazon QuickSight to visualize the data.
- C. Use an AWS Glue ML job to transform the data and create forecasts. Use Amazon QuickSight to visualize the data.
- D. Use Amazon QuickSight to visualize the data. Use ML-powered forecasting in QuickSight to create forecasts.
Answer: D
Explanation:
Amazon QuickSight includes built-in ML-powered forecasting capabilities, allowing you to create, visualize, and interact with time series forecasts directly within the BI dashboard, with no ML experience or infrastructure management required. This is the lowest management overhead solution.
NEW QUESTION # 535
......
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