Amazon SAP-C02인증시험대비공부문제 & SAP-C02최신업데이트버전덤프문제공부

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Amazon SAP-C02 Exam Overview:

Certification Vendor:	Amazon Web Services (AWS)
Exam Name:	AWS Certified Solutions Architect – Professional (SAP-C02)
Exam Number:	SAP-C02
Available Languages:	Simplified Chinese, Traditional Chinese, Korean, Portuguese (Brazil), Japanese, Spanish (Latin America), English
Related Certifications:	AWS Certified SysOps Administrator – Associate AWS Certified Solutions Architect – Associate AWS Certified Developer – Associate AWS Certified DevOps Engineer – Professional
Real Exam Qty:	Approximately 75 (multiple choice and multiple response; includes unscored questions)
Exam Duration:	180 minutes
Exam Format:	Multiple choice, Multiple response
Certificate Validity Period:	3 years
Exam Price:	USD 300
Passing Score:	750 (scaled score out of 1000)
Recommended Training:	AWS Training and Certification AWS Skill Builder
Exam Registration:	AWS Certification Official Registration Pearson VUE AWS Exam Scheduling
Sample Questions:	Amazon SAP-C02 Sample Questions
Exam Way:	Online proctored exam or test center (Pearson VUE)
Pre Condition:	No formal prerequisites required; however, AWS recommends 2+ years of hands-on experience designing and deploying cloud architecture on AWS.
Official Syllabus URL:	https://aws.amazon.com/certification/certified-solutions-architect-professional/

>> Amazon SAP-C02인증시험대비 공부문제 <<

최신 AWS Certified Solutions Architect SAP-C02 무료샘플문제 (Q544-Q549):

질문 # 544
A life sciences company is using a combination of open source tools to manage data analysis workflows and Docker containers running on servers in its on-premises data center to process genomics data Sequencing data is generated and stored on a local storage area network (SAN), and then the data is processed. The research and development teams are running into capacity issues and have decided to re-architect their genomics analysis platform on AWS to scale based on workload demands and reduce the turnaround time from weeks to days
The company has a high-speed AWS Direct Connect connection Sequencers will generate around 200 GB of data for each genome, and individual jobs can take several hours to process the data with ideal compute capacity. The end result will be stored in Amazon S3. The company is expecting 10-15 job requests each day
Which solution meets these requirements?

A. Use AWS DataSync to transfer the sequencing data to Amazon S3 Use S3 events to trigger an AWS Lambda function that starts an AWS Step Functions workflow Store the Docker images in Amazon Elastic Container Registry (Amazon ECR) and trigger AWS Batch to run the container and process the sequencing data
B. Use an AWS Storage Gateway file gateway to transfer the sequencing data to Amazon S3 Use S3 events to trigger an AWS Batch job that runs on Amazon EC2 instances running the Docker containers to process the data
C. Use regularly scheduled AWS Snowball Edge devices to transfer the sequencing data into AWS When AWS receives the Snowball Edge device and the data is loaded into Amazon S3 use S3 events to trigger an AWS Lambda function to process the data
D. Use AWS Data Pipeline to transfer the sequencing data to Amazon S3 Use S3 events to trigger an Amazon EC2 Auto Scaling group to launch custom-AMI EC2 instances running the Docker containers to process the data

정답：A

질문 # 545
A company runs a latency-sensitive application that consumes messages from an Amazon Managed Streaming for Apache Kafka (Amazon MSK) cluster. The MSK cluster runs across three Availability Zones.
The current MSK cluster uses Standard brokers with two standard large instances in each Availability Zone.
The company wants to minimize latency between Apache Kafka clients that are deployed in the same Availability Zones as the brokers. The company wants to increase available bandwidth and to increase the scaling speed of the cluster. Clients currently use default settings. Some downtime is acceptable while the company implements a solution.
Which solution will meet these requirements?

A. Configure a predictive scaling policy and set the MSK cluster as the target. Set the target value to 80 and set the scheduling buffer size to 0. Configure a placement group for the Kafka clients and associate the MSK hosts with the placement group.
B. Configure Cruise Control on the MSK cluster and enable bandwidth control bandwidth and rebalancing.
Deploy an Amazon MSK Connect proxy layer that uses latency-based routing. Reconfigure the Kafka clients to use the proxy endpoint.
C. Resize the brokers to standard xlarge instances. Create MSK PrivateLink endpoints in each Availability Zone. Reconfigure each Kafka client to use the endpoint that is in the same Availability Zone as the client.
D. Replace the Standard brokers with Express brokers that use express large instances. Set the client.rack property for the Kafka clients to az_id.

정답：D

설명：
Comprehensive and Detailed Explanation From Exact Extract:
The company wants three things: minimize client-to-broker latency within the same Availability Zone, increase available bandwidth, and increase the scaling speed of the MSK cluster. The current brokers are Standard brokers (two per AZ). Clients use default settings, which means they are not explicitly configured for rack awareness or AZ affinity.
A common way to reduce latency in multi-AZ Kafka deployments is to enable rack awareness on clients and brokers so clients prefer brokers in the same "rack," which can map to an Availability Zone. In Kafka, the client.rack setting allows the client to include rack information so the broker can return metadata that helps the client select replicas that are closest, reducing cross-AZ traffic and improving latency.
To increase bandwidth and improve scaling speed, the most direct approach in the choices is to move from Standard brokers to Express brokers. Express brokers are designed to provide higher throughput and faster scaling characteristics compared to standard broker types. Since the question explicitly calls out increasing available bandwidth and scaling speed, the broker type change is the key lever, and it can be combined with client.rack configuration to minimize cross-AZ latency.
Option C matches these requirements: it replaces Standard brokers with Express brokers (to improve throughput/bandwidth and scaling speed) and sets client.rack to the Availability Zone identifier (az_id) to improve locality and reduce latency between clients and brokers in the same AZ.
Option A is not appropriate because MSK does not use EC2 Auto Scaling predictive scaling in that manner, and Kafka clients/brokers are not "associated" with an EC2 placement group as a primary latency solution in MSK. Placement groups are for EC2 instance placement; MSK broker placement is managed by the service.
Option B introduces a proxy layer and MSK Connect in a way that increases complexity and does not directly guarantee lower latency or higher bandwidth. MSK Connect is for Kafka Connect workloads, not as a general- purpose low-latency routing proxy for Kafka clients. Cruise Control is used for partition rebalancing and cluster optimization, but it does not replace the benefits of higher-throughput broker types and client rack awareness for AZ locality.
Option D increases broker size and introduces PrivateLink endpoints. PrivateLink is about private connectivity from VPCs to services and does not inherently ensure AZ-local broker selection or reduce latency between clients and brokers in the same AZ. Also, resizing to xlarge increases capacity but does not address scaling speed and locality as directly as express brokers plus rack configuration.
Therefore, option C best meets all requirements.
References:AWS documentation on Amazon MSK broker types, including performance and scaling characteristics of Standard and Express brokers.Apache Kafka concepts and AWS guidance on rack awareness and using client.rack to reduce cross-AZ traffic and latency in multi-AZ Kafka deployments.

질문 # 546
A company is implementing a CI/CD pipeline for containerized applications by using Amazon ECR. The company needs a solution that provides automated vulnerability scanning of all container images and the ability to prioritize remediation based on actual deployment status. The solution must scan repositories for operating system and programming language vulnerabilities. The solution must provide continuous monitoring as new Common Vulnerabilities and Exposures (CVEs) are discovered and integrate the findings into the company's existing event-driven workflow.
Which solution will meet these requirements with the LEAST operational overhead?

A. Create AWS Lambda functions that are invoked by ECR image push events. Configure the Lambda functions to pull images and scan the images by using open-source tools. Store the scan results in Amazon DynamoDB. Create Amazon CloudWatch dashboards to visualize vulnerability trends across repositories.
B. Turn on Amazon ECR enhanced scanning. Integrate enhanced scanning with Amazon Inspector.Configure continuous scanning for repositories. Use Amazon Inspector to track the deployment status of container images. Configure Amazon EventBridge rules to capture Amazon Inspector findings and route the findings to the company's existing event-driven workflow.
C. Turn on Amazon ECR basic scanning. Enable scan on push for all repositories. Configure Amazon EventBridge rules to capture scan completion events and route the findings to AWS Security Hub CSPM. Use ECR lifecycle policies to automatically delete images that have critical vulnerabilities.
D. Turn on Amazon ECR basic scanning and enhanced scanning. Configure manual scan triggers for basic scanning and enhanced scanning. Use AWS Systems Manager Parameter Store to maintain a list of approved base images. Create AWS Config rules to check that only approved images are deployed to production environments and automatically remediate non-compliant resources.

정답：B

설명：
Option D is correct because Amazon ECR enhanced scanning integrates with Amazon Inspector and provides continuous vulnerability scanning for container images. Enhanced scanning covers operating system package vulnerabilities and programming language package vulnerabilities, which basic scanning does not fully satisfy. Amazon Inspector can also help prioritize remediation by showing where vulnerable images are actively deployed, such as in Amazon ECS or Amazon EKS environments.
EventBridge integration allows findings to be routed into an existing event-driven workflow without custom scanning infrastructure. Option A uses basic scanning, which is insufficient for the stated language package and continuous monitoring requirements. Option B creates unnecessary custom scanning and storage logic. Option C incorrectly combines basic and enhanced scanning with manual triggers, which does not meet the least-operational-overhead requirement.

질문 # 547
A company is using an on-premises Active Directory service for user authentication. The company wants to use the same authentication service to sign in to the company's AWS accounts, which are using AWS Organizations. AWS Site-to-Site VPN connectivity already exists between the on-premises environment and all the company's AWS accounts.
The company's security policy requires conditional access to the accounts based on user groups and roles.
User identities must be managed in a single location.
Which solution will meet these requirements?

A. Configure AWS Single Sign-On (AWS SSO) by using AWS SSO as an identity source. Enable automatic provisioning by using the System for Cross-domain Identity Management (SCIM) v2.0 protocol. Grant access to the AWS accounts by using AWS SSO permission sets.
B. In one of the company's AWS accounts, configure AWS Identity and Access Management (IAM) to use an OpenID Connect (OIDC) identity provider. Provision IAM roles that grant access to the AWS account for the federated users that correspond to appropriate groups in Active Directory. Grant access to the required AWS accounts by using cross-account IAM roles.
C. In one of the company's AWS accounts, configure AWS Identity and Access Management (IAM) to use a SAML 2.0 identity provider. Provision IAM users that are mapped to the federated users. Grant access that corresponds to appropriate groups in Active Directory. Grant access to the required AWS accounts by using cross-account IAM users.
D. Configure AWS Single Sign-On (AWS SSO) to connect to Active Directory by using SAML 2.0.
Enable automatic provisioning by using the System for Cross- domain Identity Management (SCIM) v2.
0 protocol. Grant access to the AWS accounts by using attribute-based access controls (ABACs).

정답：B

설명：
https://aws.amazon.com/blogs/aws/new-attributes-based-access-control-with-aws-single-sign-on/

질문 # 548
An entertainment company recently launched a new game. To ensure a good experience for players during the launch period, the company deployed a static quantity of 12 r6g.16xlarge (memory optimized) Amazon EC2 instances behind a Network Load Balancer. The company's operations team used the Amazon CloudWatch agent and a custom metric to include memory utilization in its monitoring strategy.
Analysis of the CloudWatch metrics from the launch period showed consumption at about one quarter of the CPU and memory that the company expected. Initial demand for the game has subsided and has become more variable. The company decides to use an Auto Scaling group that monitors the CPU and memory consumption to dynamically scale the instance fleet. A solutions architect needs to configure the Auto Scaling group to meet demand in the most cost- effective way.
Which solution will meet these requirements?

A. Configure the Auto Scaling group to deploy c6g.4xlarge (compute optimized) instances. Configure a minimum capacity of 3, a desired capacity of 3, and a maximum capacity of 12.
B. Configure the Auto Scaling group to deploy r6g.4xlarge (memory optimized) instances. Configure a minimum capacity of 3, a desired capacity of 3, and a maximum capacity of 12.
C. Configure the Auto Scaling group to deploy m6g.4xlarge (general purpose) instances. Configure a minimum capacity of 3, a desired capacity of 3, and a maximum capacity of 12.
D. Configure the Auto Scaling group to deploy r6g.8xlarge (memory optimized) instances. Configure a minimum capacity of 2, a desired capacity of 2, and a maximum capacity of 6.

정답：B

설명：
From the question, app is running on memory-optimized instances (r6g.16xlarge) but only utilizing about one quarter of the CPU and memory. So cost-effective to use smaller instances (r6g.4xlarge), which provide a quarter of r6g.16xlarge instances.

질문 # 549
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Amazon SAP-C02인증시험대비공부문제 & SAP-C02최신업데이트버전덤프문제공부

Amazon SAP-C02 Exam Overview:

최신 SAP-C02인증시험대비 공부문제 시험덤프

최신 AWS Certified Solutions Architect SAP-C02 무료샘플문제 (Q544-Q549):