SAP-C01인기덤프자료 & SAP-C01시험문제 - Amazon SAP-C01시험합격 - Omgzlook

여러분은 우선 우리 Omgzlook사이트에서 제공하는Amazon인증SAP-C01인기덤프자료시험덤프의 일부 문제와 답을 체험해보세요. 우리 Omgzlook를 선택해주신다면 우리는 최선을 다하여 여러분이 꼭 한번에 시험을 패스할 수 있도록 도와드리겠습니다.만약 여러분이 우리의 인증시험덤프를 보시고 시험이랑 틀려서 패스를 하지 못하였다면 우리는 무조건 덤프비용전부를 환불해드립니다. Omgzlook는 유일하게 여러분이 원하는Amazon인증SAP-C01인기덤프자료시험관련자료를 해결해드릴 수 잇는 사이트입니다. Omgzlook에서 제공하는 자료로 응시는 문제없습니다, 여러분은 고득점으로 시험을 통과할 것입니다. 시험은 당연히 완전히 전문적인 IT관련지식을 터득하자만이 패스할 가능성이 높습니다.

AWS Certified Solutions Architect SAP-C01 Omgzlook의 덤프를 장바구니에 넣으세요.

AWS Certified Solutions Architect SAP-C01인기덤프자료 - AWS Certified Solutions Architect - Professional 만약 시험에서 떨어진다면 덤프전액환불을 약속 드립니다. 비스를 제공해드려 아무런 걱정없이 시험에 도전하도록 힘이 되어드립니다. Omgzlook덤프를 사용하여 시험에서 통과하신 분이 전해주신 희소식이 Omgzlook 덤프품질을 증명해드립니다.

Omgzlook 에서 제공해드리는 Amazon SAP-C01인기덤프자료덤프는 아주 우수한 IT인증덤프자료 사이트입니다. IT업계엘리트한 강사들이 퍼펙트한 Amazon SAP-C01인기덤프자료 덤프문제집을 제작하여 디테일한 시험문제와 답으로 여러분이 아주 간단히Amazon SAP-C01인기덤프자료시험을 패스할 수 있도록 최선을 다하고 있습니다.

Amazon SAP-C01인기덤프자료 - IT인증시험문제는 수시로 변경됩니다.

Omgzlook의 Amazon인증 SAP-C01인기덤프자료덤프는 거의 모든 실제시험문제 범위를 커버하고 있습니다.Amazon인증 SAP-C01인기덤프자료시험덤프를 구매하여 덤프문제로 시험에서 불합격성적표를 받을시Omgzlook에서는 덤프비용 전액 환불을 약속드립니다.

Amazon인증 SAP-C01인기덤프자료시험을 패스해서 자격증을 취득하려고 하는데 시험비며 학원비며 공부자료비며 비용이 만만치 않다구요? 제일 저렴한 가격으로 제일 효과좋은Omgzlook 의 Amazon인증 SAP-C01인기덤프자료덤프를 알고 계시는지요? Omgzlook 의 Amazon인증 SAP-C01인기덤프자료덤프는 최신 시험문제에 근거하여 만들어진 시험준비공부가이드로서 학원공부 필요없이 덤프공부만으로도 시험을 한방에 패스할수 있습니다. 덤프를 구매하신분은 철저한 구매후 서비스도 받을수 있습니다.

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

SAP C_TS414_2023 - IT자격증 취득이 여느때보다 여느일보다 쉬워져 자격증을 많이 따는 꿈을 실현해드립니다. SAP C-THR81-2405 - Omgzlook는 IT인증자격증시험에 대비한 덤프공부가이드를 제공해드리는 사이트인데 여러분의 자격증 취득의 꿈을 이루어드릴수 있습니다. Omgzlook에서 연구제작한 Amazon인증 GARP 2016-FRR덤프는Amazon인증 GARP 2016-FRR시험을 패스하는데 가장 좋은 시험준비 공부자료입니다. Amazon Microsoft AZ-140덤프로 시험에서 좋은 성적 받고 자격증 취득하시길 바랍니다. Amazon인증 SAP C_TS462_2022시험을 가장 빠른 시일내에 가장 쉬운 방법으로 패스하는 방법을 고심초사한끝에 Omgzlook에서 연구해 내었습니다.

Updated: May 28, 2022