Goldmile-Infobiz是一個專門為IT認證考試人員提供培訓工具的專業網站，也是一個能幫你通過SAP-C01考古題考試很好的選擇。Goldmile-Infobiz會為SAP-C01考古題考試提供一些相關的考試材料，來為你們這些IT專業人士提供鞏固學習的機會。Goldmile-Infobiz會為參加SAP-C01考古題認證考試的人員提供一切最新的他們想要的準確的考試練習題和答案。 利用Goldmile-Infobiz Amazon的SAP-C01考古題考試認證培訓資料來考試從來沒有過那麼容易，那麼快。這是某位獲得了認證的考生向我們說的心聲。 Goldmile-Infobiz的產品是由很多的資深IT專家利用他們的豐富的知識和經驗針對IT相關認證考試研究出來的。
AWS Certified Solutions Architect SAP-C01 你可以提前感受到真實的考試。
要想通過Amazon SAP-C01 - AWS Certified Solutions Architect - Professional考古題考試認證，選擇相應的培訓工具是非常有必要的，而關於Amazon SAP-C01 - AWS Certified Solutions Architect - Professional考古題考試認證的研究材料是很重要的一部分，而我們Goldmile-Infobiz能很有效的提供關於通過Amazon SAP-C01 - AWS Certified Solutions Architect - Professional考古題考試認證的資料，Goldmile-Infobiz的IT專家個個都是實力加經驗組成的，他們的研究出來的材料和你真實的考題很接近，幾乎一樣，Goldmile-Infobiz是專門為要參加認證考試的人提供便利的網站，能有效的幫助考生通過考試。 Goldmile-Infobiz的SAP-C01 測試引擎考古題和實際的認證考試一樣，不僅包含了實際考試中的所有問題，而且考古題的軟體版完全類比了真實考試的氛圍。使用了Goldmile-Infobiz的考古題，你在參加考試時完全可以應付自如，輕鬆地獲得高分。
對於 Amazon的SAP-C01考古題考試認證每個考生都很迷茫。每個人都有自己不用的想法，不過總結的都是考試困難之類的，Amazon的SAP-C01考古題考試是比較難的一次考試認證，我相信大家都是耳目有染的，不過只要大家相信Goldmile-Infobiz，這一切將不是問題，Goldmile-Infobiz Amazon的SAP-C01考古題考試培訓資料是每個考生的必備品，它是我們Goldmile-Infobiz為考生們量身訂做的，有了它絕對100%通過考試認證，如果你不相信，你進我們網站看一看你就知道，看了嚇一跳，每天購買率是最高的，你也別錯過，趕緊加入購物車吧。
Amazon SAP-C01考古題 - 但是這並不代表不能獲得高分輕鬆通過考試。
成千上萬的IT考生通過使用我們的產品成功通過考試，Amazon SAP-C01考古題考古題質量被廣大考試測試其是高品質的。我們從來不相信第二次機會，因此給您帶來的最好的Amazon SAP-C01考古題考古題幫助您首次就通過考試，并取得不錯的成績。Goldmile-Infobiz網站幫助考生通過SAP-C01考古題考試獲得認證，不僅可以節約很多時間，還能得到輕松通過SAP-C01考古題考試的保證，這是IT認證考試中最重要的考試之一。
對於SAP-C01考古題認證考試，你是怎麼想的呢？作為非常有人氣的Amazon認證考試之一，這個考試也是非常重要的。但是，當你為了更好地準備考試而尋找參考資料的時候，你會發現找到一本非常優秀的參考書是很難的。
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