AmazonのSAP-C01専門知識訓練認定試験は実は技術専門家を認証する試験です。AmazonのSAP-C01専門知識訓練認定試験はIT人員が優れたキャリアを持つことを助けられます。優れたキャリアを持ったら、社会と国のために色々な利益を作ることができて、国の経済が継続的に発展していることを進められるようになります。 非常に人気があるAmazonの認定試験の一つとして、この試験も大切です。しかし、試験の準備をよりよくできるために試験参考書を探しているときに、優秀な参考資料を見つけるのはたいへん難しいことがわかります。 それはあなたが夢を実現することを助けられます。

AWS Certified Solutions Architect SAP-C01 きっと望んでいるでしょう。

AWS Certified Solutions Architect SAP-C01専門知識訓練 - AWS Certified Solutions Architect - Professional NewValidDumpsを選ぶなら、私たちは君の認定試験に合格するのを保証します。 NewValidDumpsのSAP-C01 試験勉強攻略教材を購入したら、あなたは一年間の無料アップデートサービスを取得しました。試験問題集が更新されると、NewValidDumpsは直ちにあなたのメールボックスにSAP-C01 試験勉強攻略問題集の最新版を送ります。

競争がますます激しいIT業種では、AmazonのSAP-C01専門知識訓練試験の認定は欠くことができない認証です。最も早い時間でAmazonのSAP-C01専門知識訓練認定試験に合格したいなら、NewValidDumpsのAmazonのSAP-C01専門知識訓練試験トレーニング資料を利用すればいいです。もしうちの学習教材を購入した後、試験に不合格になる場合は、私たちが全額返金することを保証いたします。

Amazon SAP-C01専門知識訓練 - 躊躇わなく、行動しましょう。

数年以来の整理と分析によって開発されたSAP-C01専門知識訓練問題集は権威的で全面的です。SAP-C01専門知識訓練問題集を利用して試験に合格できます。この問題集の合格率は高いので、多くのお客様からSAP-C01専門知識訓練問題集への好評をもらいました。SAP-C01専門知識訓練問題集のカーバー率が高いので、勉強した問題は試験に出ることが多いです。だから、弊社の提供するSAP-C01専門知識訓練問題集を暗記すれば、きっと試験に合格できます。

SAP-C01専門知識訓練資格証明書があれば、履歴書は他の人の履歴書より目立つようになります。現在、SAP-C01専門知識訓練資格証明書の知名度がますます高くなっています。

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 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: 3
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: 4
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: 5
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

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Updated: May 28, 2022