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SAP-C01 熱門題庫 - 最新 SAP-C01 題庫資訊 & AWS Certified Solutions Architect Professional - Royalholidayclubbed
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Royalholidayclubbed將成就你的夢想。Royalholidayclubbed的專家團隊為了滿足以大部分IT人士的需求，他們利用自己的經驗和知識努力地研究過去的幾年的Amazon SAP-C01熱門題庫 認證考試題目，如此，Royalholidayclubbed的最新的Amazon SAP-C01熱門題庫 的模擬測試題和答案就問世了。我們的Amazon SAP-C01熱門題庫 模擬測試題及答案和真實考試的題目及答案有95%的相似性，通過Royalholidayclubbed提供的測試題你可以100%通過考試。 Royalholidayclubbed是個為Amazon SAP-C01熱門題庫 認證考試提供短期的有效培訓的網站，但是Royalholidayclubbed能保證你的Amazon SAP-C01熱門題庫 認證考試及格。如果你不及格，我們會全額退款。 當你擁有了Royalholidayclubbed Amazon的SAP-C01熱門題庫的問題及答案，就會讓你有了第一次通過考試的困難和信心。
對於 Amazon的SAP-C01熱門題庫考試認證每個考生都很迷茫。
我們Royalholidayclubbed的 Amazon的SAP-C01 - AWS Certified Solutions Architect - Professional熱門題庫的考題資料是按照相同的教學大綱來來研究的，同時也不斷升級我們的培訓材料，所以我們的考試培訓資料包括試題及答案，和實際的考試相似度非常高，所以形成了我們Royalholidayclubbed的通過率也是非常的高，這也是不可否認的事實， 由此知道Royalholidayclubbed Amazon的SAP-C01 - AWS Certified Solutions Architect - Professional熱門題庫考試培訓資料對考生的幫助，而且我們的價格絕對合理，適合每位IT認證的考生。 但是這並不代表不能獲得高分輕鬆通過考試。那麼，還不知道通過這個考試的捷徑在哪里的你，是不是想知道通過考試的技巧呢？現在我來告訴你，就是利用Royalholidayclubbed的SAP-C01 最新考題考古題。
這個考古題包含了實際考試中一切可能出現的問題。所以，只要你好好學習這個考古題，那麼通過SAP-C01熱門題庫考試就不再是難題了。你現在正在為了尋找Amazon的SAP-C01熱門題庫認證考試的優秀的資料而苦惱嗎？不用再擔心了，這裏就有你最想要的東西。
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SAP-C01 PDF DEMO:
QUESTION NO: 1
A company collects a steady stream of 10 million data records from 100,000 sources each day. These records are written to an Amazon RDS MySQL DB. A query must produce the daily average of a data source over the past 30 days. There are twice as many reads as writes. Queries to the collected data are for one source ID at a time.
How can the Solutions Architect improve the reliability and cost effectiveness of this solution?
A. Use Amazon DynamoDB with the source ID as the partition key and the timestamp as the sort key.
Use a Time to Live (TTL) to delete data after 30 days.
B. Use Amazon Aurora with MySQL in a Multi-AZ mode. Use four additional read replicas.
C. Ingest data into Amazon Kinesis using a retention period of 30 days. Use AWS Lambda to write data records to Amazon ElastiCache for read access.
D. Use Amazon DynamoDB with the source ID as the partition key. Use a different table each day.
Answer: A
Explanation
https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/Introduction.html
QUESTION NO: 2
A company wants to migrate its website from an on-premises data center onto AWS. At the same time, it wants to migrate the website to a containerized microservice-based architecture to improve the availability and cost efficiency. The company's security policy states that privileges and network permissions must be configured according to best practice, using least privilege.
A Solutions Architect must create a containerized architecture that meets the security requirements and has deployed the application to an Amazon ECS cluster.
What steps are required after the deployment to meet the requirements? (Choose two.)
A. Apply security groups to the tasks, and use IAM roles for tasks to access other resources.
B. Apply security groups to Amazon EC2 instances, and use IAM roles for EC2 instances to access other resources.
C. Create tasks using the awsvpc network mode.
D. Create tasks using the bridge network mode.
E. Apply security groups to the tasks, and pass IAM credentials into the container at launch time to access other resources.
Answer: A,C
Explanation
https://aws.amazon.com/about-aws/whats-new/2017/11/amazon-ecs-introduces-awsvpc- networking-mode-for-co
https://amazonaws-china.com/blogs/compute/introducing-cloud-native-networking-for-ecs- containers/
https://docs.aws.amazon.com/AmazonECS/latest/developerguide/task-iam-roles.html
QUESTION NO: 3
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
QUESTION NO: 4
A retail company is running an application that stores invoice files in Amazon S3 bucket and metadata about the files in an Amazon. The S3 bucket and DynamoDB table are in us-east-1. The company wants to protect itself from data corruption and loss of connectivity to either Region.
Which option meets these requirements?
A. Create a DynamoDB global table to replicate data between us-east-1 and eu-west-1. Enable versioning on the S3 bucket. Implement strict ACLs on the S3 bucket.
B. Create a DynamoDB global table to replicate data between us-east-1 and eu-west-1. Enable continuous backup on the DynamoDB table in us-east-1. Set up S3 cross-region replication from us- east-1 to eu-west-1.
C. Create a DynamoDB global table to replicate data between us-east-1 and eu-west-1. Enable continuous backup on the DynamoDB table in us-east-1. Enable versioning on the S3 bucket.
D. Create an AWS Lambda function triggered by Amazon CloudWatch Events to make regular backups of the DynamoDB table. Set up S3 cross-region replication from us-east-1 to eu-west-1. Set up MFA delete on the S3 bucket in us-east-1.
Answer: C
Explanation
https://aws.amazon.com/blogs/aws/new-cross-region-replication-for-amazon-s3/
QUESTION NO: 5
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
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Updated: May 28, 2022
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