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The SAP-C02 exam is designed to test candidates on a broad range of topics related to AWS architecture, including advanced design principles, security, data storage, networking, and more. SAP-C02 exam consists of 75 multiple-choice and multiple-response questions, and candidates have 180 minutes to complete it. SAP-C02 Exam is available in English, Japanese, Korean, and Simplified Chinese languages.
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Becoming an AWS Certified Solutions Architect - Professional validates the candidate's expertise in designing and deploying scalable, reliable, and cost-effective systems on AWS. AWS Certified Solutions Architect - Professional (SAP-C02) certification is highly regarded in the industry and is recognized by organizations worldwide. With the growing demand for cloud computing and AWS services, achieving this certification can open up new career opportunities and enhance the candidate's earning potential.
Amazon SAP-C02 (AWS Certified Solutions Architect - Professional) certification exam is designed for experienced solutions architects who have a deep understanding of AWS services and can design and deploy scalable, highly available, and fault-tolerant systems in the cloud. SAP-C02 Exam Tests the candidate's ability to design and deploy complex applications on AWS, implement security controls, and manage operations in an efficient and cost-effective manner. AWS Certified Solutions Architect - Professional (SAP-C02) certification is the highest level of AWS certification and is recommended for professionals who have several years of experience designing and deploying cloud architecture solutions.
Amazon AWS Certified Solutions Architect - Professional (SAP-C02) Sample Questions (Q149-Q154):
NEW QUESTION # 149
A company is planning to host a web application on AWS and works to load balance the traffic across a group of Amazon EC2 instances. One of the security requirements is to enable end-to-end encryption in transit between the client and the web server.
Which solution will meet this requirement?
- A. Place the EC2 instances behind an Application Load Balancer (ALB) Provision an SSL certificate using AWS Certificate Manager (ACM), and associate the SSL certificate with the ALB. Export the SSL certificate and install it on each EC2 instance. Configure the ALB to listen on port 443 and to forward traffic to port 443 on the instances.
- B. Place the EC2 instances behind an Application Load Balancer (ALB). Provision an SSL certificate using AWS Certificate Manager (ACM), and associate the SSL certificate with the ALB. Provision a third-party SSL certificate and install it on each EC2 instance. Configure the ALB to listen on port 443 and to forward traffic to port 443 on the instances.
- C. Associate the EC2 instances with a target group. Provision an SSL certificate using AWS Certificate Manager (ACM). Create an Amazon CloudFront distribution and configure It to use the SSL certificate. Set CloudFront to use the target group as the origin server
- D. Place the EC2 instances behind a Network Load Balancer (NLB). Provision a third-party SSL certificate and install it on the NLB and on each EC2 instance. Configure the NLB to listen on port 443 and to forward traffic to port 443 on the instances.
Answer: A
Explanation:
Using an Application Load Balancer (ALB) to distribute traffic to the EC2 instances is the best solution to meet the requirement of enabling end-to-end encryption in transit between the client and the web server. The ALB should be configured to listen on port 443 and forward traffic to port 443 on the EC2 instances. An SSL certificate should be provisioned using AWS Certificate Manager (ACM) and associated with the ALB. The SSL certificate should then be exported and installed on each EC2 instance.
AWS Application Load Balancer documentation: https://aws.amazon.com/elasticloadbalancing/applicationloadbalancer/ AWS Certificate Manager documentation: https://aws.amazon.com/certificate-manager/ AWS Encryption in Transit documentation: https://aws.amazon.com/premiumsupport/knowledge-center/encryption-in-transit-alb-nlb/
NEW QUESTION # 150
A company is expanding. The company plans to separate its resources into hundreds of different AWS accounts in multiple AWS Regions. A solutions architect must recommend a solution that denies access to any operations outside of specifically designated Regions.
Which solution will meet these requirements?
- A. Enable AWS Security Hub in each account. Create controls to specify the Regions where an account can deploy infrastructure.
- B. Create an organization in AWS Organizations. Create IAM users for each account. Attach a policy to each user to block access to Regions where an account cannot deploy infrastructure.
- C. Create IAM roles for each account. Create IAM policies with conditional allow permissions that include only approved Regions for the accounts.
- D. Launch an AWS Control Tower landing zone. Create OUs and attach SCPs that deny access to run services outside of the approved Regions.
Answer: D
NEW QUESTION # 151
A financial services company sells its software-as-a-service (SaaS) platform for application compliance to large global banks. The SaaS platform runs on AWS and uses multiple AWS accounts that are managed in an organization in AWS Organizations. The SaaS platform uses many AWS resources globally.
For regulatory compliance, all API calls to AWS resources must be audited, tracked for changes, and stored in a durable and secure data store.
Which solution will meet these requirements with the LEAST operational overhead?
- A. Create a new AWS CloudTrail trail in the organization's management account. Create a new Amazon S3 bucket to store the logs. Configure Amazon Simple Notification Service (Amazon SNS) to send log-file delivery notifications to an external management system that will track the logs. Enable MFA delete and encryption on the S3 bucket.
- B. Create a new AWS CloudTrail trail in each member account of the organization. Create new Amazon S3 buckets to store the logs. Deploy the trail to all AWS Regions. Enable MFA delete and encryption on the S3 buckets.
- C. Create a new AWS CloudTrail trail in the organization's management account. Create a new Amazon S3 bucket with versioning turned on to store the logs. Deploy the trail for all accounts in the organization. Enable MFA delete and encryption on the S3 bucket.
- D. Create a new AWS CloudTrail trail. Use an existing Amazon S3 bucket in the organization's management account to store the logs. Deploy the trail to all AWS Regions. Enable MFA delete and encryption on the S3 bucket.
Answer: C
Explanation:
The correct answer is C. This option uses AWS CloudTrail to create a trail in the organization's management account that applies to all accounts in the organization. This way, the company can centrally manage and audit all API calls to AWS resources across multiple accounts and regions. The company also needs to create a new Amazon S3 bucket with versioning turned on to store the logs. Versioning helps protect against accidental or malicious deletion of log files by keeping multiple versions of each object in the bucket. The company also needs to enable MFA delete and encryption on the S3 bucket to further enhance the security and durability of the data store.
Option A is incorrect because it uses an existing S3 bucket in the organization's management account to store the logs. This may not be optimal for regulatory compliance, as the existing bucket may have different permissions, encryption settings, or lifecycle policies than a dedicated bucket for CloudTrail logs.
Option B is incorrect because it requires creating a new CloudTrail trail in each member account of the organization. This adds operational overhead and complexity, as the company would need to manage multiple trails and S3 buckets across multiple accounts and regions.
Option D is incorrect because it requires configuring Amazon SNS to send log-file delivery notifications to an external management system that will track the logs. This adds unnecessary complexity and cost, as CloudTrail already provides log-file integrity validation and log-file digest delivery features that can help verify the authenticity and integrity of log files.
NEW QUESTION # 152
A company is using multiple AWS accounts. The DNS records are stored in a private hosted zone for Amazon Route 53 in Account A. The company's applications and databases are running in Account B. A solutions architect will deploy a two-tier application in a new VPC. To simplify the configuration, the db.example.com CNAME record set for the Amazon RDS endpoint was created in a private hosted zone for Amazon Route 53.
During deployment the application failed to start. Troubleshooting revealed that db.example.com is not resolvable on the Amazon EC2 instance. The solutions architect confirmed that the record set was created correctly in Route 53.
Which combination of steps should the solutions architect take to resolve this issue? (Choose two.)
- A. Create an authorization to associate the private hosted zone in Account A with the new VPC in Account B.
- B. Create a private hosted zone for the example com domain in Account B.
Configure Route 53 replication between AWS accounts. - C. Use SSH to connect to the application tier EC2 instance.
Add an RDS endpoint IP address to the /etc/ resolv conf file. - D. Associate a new VPC in Account B with a hosted zone in Account A.
Delete the association authorization in Account A. - E. Deploy the database on a separate EC2 instance in the new VPC.
Create a record set for the instance's private IP in the private hosted zone.
Answer: A,D
Explanation:
https://aws.amazon.com/premiumsupport/knowledge-center/private-hosted-zone-different- account/
NEW QUESTION # 153
A company that provisions job boards for a seasonal workforce is seeing an increase in traffic and usage. The backend services run on a pair of Amazon EC2 instances behind an Application Load Balancer with Amazon DynamoDB as the datastore. Application read and write traffic is slow during peak seasons.
Which option provides a scalable application architecture to handle peak seasons with the LEAST development effort?
- A. Use Auto Scaling groups for the backend services. Use DynamoDB auto scaling.
- B. Use Auto Scaling groups for the backend services. Use Amazon Simple Queue Service (Amazon SQS) and an AWS Lambda function to write to DynamoDB.
- C. Migrate the backend services to AWS Lambda. Configure DynamoDB to use global tables.
- D. Migrate the backend services to AWS Lambda. Increase the read and write capacity of DynamoDB.
Answer: A
Explanation:
Option C is correct because using Auto Scaling groups for the backend services allows the company to scale up or down the number of EC2 instances based on the demand and traffic. This way, the backend services can handle more requests during peak seasons without compromising performance or availability. Using DynamoDB auto scaling allows the company to adjust the provisioned read and write capacity of the table or index automatically based on the actual traffic patterns. This way, the table or index can handle sudden increases or decreases in workload without throttling or overprovisioning1.
Option A is incorrect because migrating the backend services to AWS Lambda may require significant development effort to rewrite the code and test the functionality. Moreover, increasing the read and write capacity of DynamoDB manually may not be efficient or cost-effective, as it does not account for the variability of the workload. The company may end up paying for unused capacity or experiencing throttling if the workload exceeds the provisioned capacity1.
Option B is incorrect because migrating the backend services to AWS Lambda may require significant development effort to rewrite the code and test the functionality. Moreover, configuring DynamoDB to use global tables may not be necessary or beneficial for the company, as global tables are mainly used for replicating data across multiple AWS Regions for fast local access and disaster recovery. Global tables do not automatically scale the provisioned capacity of each replica table; they still require manual or auto scaling settings2.
Option D is incorrect because using Amazon Simple Queue Service (Amazon SQS) and an AWS Lambda function to write to DynamoDB may introduce additional complexity and latency to the application architecture. Amazon SQS is a message queue service that decouples and coordinates the components of a distributed system. AWS Lambda is a serverless compute service that runs code in response to events. Using these services may require significant development effort to integrate them with the backend services and DynamoDB, Moreover, they may not improve the read performance of DynamoDB, which may also be affected by high traffic3.
Reference:
Auto Scaling groups
DynamoDB auto scaling
AWS Lambda
DynamoDB global tables
AWS Lambda vs EC2: Comparison of AWS Compute Resources - Simform
Managing throughput capacity automatically with DynamoDB auto scaling - Amazon DynamoDB AWS Aurora Global Database vs. DynamoDB Global Tables Amazon Simple Queue Service (SQS)
NEW QUESTION # 154
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