SAP-C01 시험유형 & Amazon SAP-C01 시험덤프공부 - AWS Certified Solutions Architect Professional - Royalholidayclubbed

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Royalholidayclubbed의 경험이 풍부한 전문가들이Amazon SAP-C01시험유형인증시험관련자료들을 계획적으로 페펙트하게 만들었습니다.Amazon SAP-C01시험유형인증시험응시에는 딱 좋은 자료들입니다. Royalholidayclubbed는 최고의 덤프만 제공합니다. 응시 전Amazon SAP-C01시험유형인증시험덤프로 최고의 시험대비준비를 하시기 바랍니다. Amazon인증SAP-C01시험유형시험을 위하여 최고의 선택이 필요합니다. Royalholidayclubbed 선택으로 좋은 성적도 얻고 하면서 저희 선택을 후회하지 않을것니다.돈은 적게 들고 효과는 아주 좋습니다.우리Royalholidayclubbed여러분의 응시분비에 많은 도움이 될뿐만아니라Amazon인증SAP-C01시험유형시험은 또 일년무료 업데이트서비스를 제공합니다.작은 돈을 투자하고 이렇게 좋은 성과는 아주 바람직하다고 봅니다. Amazon SAP-C01시험유형시험은Royalholidayclubbed제품으로 간편하게 도전해보시면 후회없을 것입니다.

AWS Certified Solutions Architect SAP-C01 그리고 시험에서 떨어지셨다고 하시면 우리는 덤프비용전액 환불을 약속 드립니다.

AWS Certified Solutions Architect SAP-C01시험유형 - AWS Certified Solutions Architect - Professional 오르지 못할 산도 정복할수 있는게Royalholidayclubbed제품의 우점입니다. 무료샘플을 보시면Royalholidayclubbed Amazon인증SAP-C01 시험유효덤프시험대비자료에 믿음이 갈것입니다.고객님의 이익을 보장해드리기 위하여Royalholidayclubbed는 시험불합격시 덤프비용전액환불을 무조건 약속합니다. Royalholidayclubbed의 도움으로 더욱 많은 분들이 멋진 IT전문가로 거듭나기를 바라는바입니다.

Royalholidayclubbed는 여러분이 원하는 최신 최고버전의 Amazon 인증SAP-C01시험유형덤프를 제공합니다. Amazon 인증SAP-C01시험유형덤프는 IT업계전문가들이 끊임없는 노력과 지금까지의 경험으로 연구하여 만들어낸 제일 정확한 시험문제와 답들로 만들어졌습니다. Royalholidayclubbed의 문제집으로 여러분은 충분히 안전이 시험을 패스하실 수 있습니다.

Amazon SAP-C01시험유형 - 저희는 항상 여러분들의 곁을 지켜줄것입니다.

Amazon SAP-C01시험유형 덤프의 PDF 버전과 Software 버전의 내용은 동일합니다. PDF버전은 프린트 가능한 버전으로서 단독구매하셔도 됩니다. Software 버전은 테스트용으로 PDF 버전 공부를 마친후 시험전에 실력테스트 가능합니다. Software 버전은 PDF버전의 보조용이기에 단독 판매하지 않습니다. 소프트웨어버전까지 필요하신 분은 PDF버전을 구입하실때 공동구매하셔야 합니다.

Amazon인증 SAP-C01시험유형시험이 영어로 출제되어 시험패스가 너무 어렵다 혹은 회사다니느라 공부할 시간이 없다는 등등은 모두 공부하기싫은 구실에 불과합니다. Royalholidayclubbed의 Amazon인증 SAP-C01시험유형덤프만 마련하면 실패를 성공으로 바꿀수 있는 기적을 체험할수 있습니다.제일 간단한 방법으로 가장 어려운 문제를 해결해드리는것이Royalholidayclubbed의 취지입니다.

SAP-C01 PDF DEMO:

QUESTION NO: 1
A company has a large on-premises Apache Hadoop cluster with a 20 PB HDFS database. The cluster is growing every quarter by roughly 200 instances and 1 PB. The company's goals are to enable resiliency for its Hadoop data, limit the impact of losing cluster nodes, and significantly reduce costs. The current cluster runs 24/7 and supports a variety of analysis workloads, including interactive queries and batch processing.
Which solution would meet these requirements with the LEAST expense and down time?
A. Use AWS Snowmobile to migrate the existing cluster data to Amazon S3. Create a persistent
Amazon EMR cluster initially sized to handle the interactive workload based on historical data from the on-premises cluster. Store the data on EMRFS. Minimize costs using Reserved Instances for master and core nodes and Spot Instances for task nodes, and auto scale task nodes based on
Amazon CloudWatch metrics. Create job-specific, optimized clusters for batch workloads that are similarly optimized.
B. Use AWS Snowmobile to migrate the existing cluster data to Amazon S3. Create a persistent
Amazon EMR cluster of similar size and configuration to the current cluster. Store the data on EMRFS.
Minimize costs by using Reserved Instances. As the workload grows each quarter, purchase additional
Reserved Instances and add to the cluster.
C. Use AWS Direct Connect to migrate the existing cluster data to Amazon S3. Create a persistent
Amazon EMR cluster initially sized to handle the interactive workload based on historical data from the on-premises cluster. Store the data on EMRFS. Minimize costs using Reserved Instances for master and core nodes and Spot Instances for task nodes, and auto scale task nodes based on
Amazon CloudWatch metrics. Create job-specific, optimized clusters for batch workloads that are similarly optimized.
D. Use AWS Snowball to migrate the existing cluster data to Amazon S3. Create a persistent Amazon
EMR cluster initially sized to handle the interactive workloads based on historical data from the on- premises cluster. Store the on EMRFS. Minimize costs using Reserved Instances for master and core nodes and Spot Instances for task nodes, and auto scale task nodes based on Amazon CloudWatch metrics. Create job-specific, optimized clusters for batch workloads that are similarly optimized.
Answer: A
Explanation
Q: How should I choose between Snowmobile and Snowball?
To migrate large datasets of 10PB or more in a single location, you should use Snowmobile. For datasets less than 10PB or distributed in multiple locations, you should use Snowball. In addition, you should evaluate the amount of available bandwidth in your network backbone. If you have a high speed backbone with hundreds of Gb/s of spare throughput, then you can use Snowmobile to migrate the large datasets all at once. If you have limited bandwidth on your backbone, you should consider using multiple Snowballs to migrate the data incrementally.

QUESTION NO: 2
A company deployed a three-tier web application in two regions: us-east-1 and eu-west-1. The application must be active in both regions at the same time. The database tier of the application uses a single Amazon RDS Aurora database globally, with a master in us-east-1 and a read replica in eu- west-1. Both regions are connected by a VPN.
The company wants to ensure that the application remains available even in the event of a region- level failure of all of the application's components. It is acceptable for the application to be in read- only mode for up to 1 hour. The company plans to configure two Amazon Route 53 record sets, one for each of the regions.
How should the company complete the configuration to meet its requirements while providing the lowest latency for the application end-users? (Choose two.)
A. Use failover routing and configure the us-east-1 record set as primary and the eu-west-1 record set as secondary. Configure an HTTP health check for the web application in us-east-1, and associate it to the us-east-1 record set.
B. Use weighted routing and configure each record set with a weight of 50. Configure an HTTP health check for each region, and attach it to the record set for that region.
C. Configure an Amazon RDS event notifications to react to the failure of the database in us-east-1 by invoking an AWS Lambda function that promotes the read replica in eu-west-1.
D. Use latency-based routing for both record sets. Configure a health check for each region and attach it to the record set for that region.
E. Configure an Amazon CloudWatch alarm for the health checks in us-east-1, and have it invoke an
AWS Lambda function that promotes the read replica in eu-west-1.
Answer: C,D
Explanation
https://docs.aws.amazon.com/lambda/latest/dg/services-rds.html

QUESTION NO: 3
A company has an application that runs a web service on Amazon EC2 instances and stores .jpg images in Amazon S3. The web traffic has a predictable baseline, but often demand spikes unpredictably for short periods of time. The application is loosely coupled and stateless. The .jpg images stored in Amazon S3 are accessed frequently for the first 15 to 20 days, they are seldom accessed thereafter but always need to be immediately available. The CIO has asked to find ways to reduce costs.
Which of the following options will reduce costs? (Choose two.)
A. Create a script that checks the load on all web servers and terminates unnecessary On-Demand instances.
B. Configure a lifecycle policy to move the .jpg images on Amazon S3 to S3 IA after 30 days.
C. Configure a lifecycle policy to move the .jpg images on Amazon S3 to Amazon Glacier after 30 days.
D. Purchase Reserved instances for baseline capacity requirements and use On-Demand instances for the demand spikes.
E. Use On-Demand instances for baseline capacity requirements and use Spot Fleet instances for the demand spikes.
Answer: B,D

QUESTION NO: 4
A company wants to ensure that the workloads for each of its business units have complete autonomy and a minimal blast radius in AWS. The Security team must be able to control access to the resources and services in the account to ensure that particular services are not used by the business units.
How can a Solutions Architect achieve the isolation requirements?
A. Create one shared account for the entire company. Create individual IAM policies and resource tags for each business unit. Federate the account with an IdP, and create separate roles for the business units and the Security team.
B. Create individual accounts for each business unit. Federate each account with an IdP and create separate roles and policies for business units and the Security team.
C. Create one shared account for the entire company. Create separate VPCs for each business unit.
Create individual IAM policies and resource tags for each business unit. Federate each account with an IdP, and create separate roles for the business units and the Security team.
D. Create individual accounts for each business unit and add the account to an OU in AWS
Organizations.
Modify the OU to ensure that the particular services are blocked. Federate each account with an IdP, and create separate roles for the business units and the Security team.
Answer: D

QUESTION NO: 5
A company that provides wireless services needs a solution to store and analyze log files about user activities.
Currently, log files are delivered daily to Amazon Linux on Amazon EC2 instance. A batch script is run once a day to aggregate data used for analysis by a third-party tool. The data pushed to the third- party tool is used to generate a visualization for end users. The batch script is cumbersome to maintain, and it takes several hours to deliver the ever-increasing data volumes to the third-party tool. The company wants to lower costs, and is open to considering a new tool that minimizes development effort and lowers administrative overhead. The company wants to build a more agile solution that can store and perform the analysis in near-real time, with minimal overhead. The solution needs to be cost effective and scalable to meet the company's end-user base growth.
Which solution meets the company's requirements?
A. Use an Amazon Kinesis agent running on an EC2 instance to collect and send the data to an
Amazon Kinesis Data Firehose delivery stream. The Kinesis Data Firehose delivery stream will deliver the data to Amazon S3. Use an AWS Lambda function to deliver the data from Amazon S3 to Amazon
ES. Use Kibana to visualize the data.
B. Use an Amazon Kinesis agent running on an EC2 instance in an Auto Scaling group to collect and send the data to an Amazon Kinesis Data Forehose delivery stream. The Kinesis Data Firehose delivery stream will deliver the data directly to Amazon ES. Use Kibana to visualize the data.
C. Use an in-memory caching application running on an Amazon EBS-optimized EC2 instance to capture the log data in near real-time. Install an Amazon ES cluster on the same EC2 instance to store the log files as they are delivered to Amazon EC2 in near real-time. Install a Kibana plugin to create the visualizations.
D. Develop a Python script to failure the data from Amazon EC2 in real time and store the data in
Amazon S3. Use a copy command to copy data from Amazon S3 to Amazon Redshift. Connect a business intelligence tool running on Amazon EC2 to Amazon Redshift and create the visualizations.
Answer: B
Explanation
https://docs.aws.amazon.com/firehose/latest/dev/writing-with-agents.html

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Updated: May 28, 2022

by RHC.

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