AWS云认证专家：责任模型与资源管理详解

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QUESTION 56

A company is looking for a scalable data warehouse solution.

Which of the following AWS solutions would meet the company's needs?

Amazon Simple Storage Service (Amazon S3)

Amazon DynamoDB

C. Amazon Kinesis

Amazon Redshift

Correct Answer: D

Explanation

Explanation/Reference:

Explanation:

https://aws.amazon.com/redshift/

QUESTION 57

Which statement best describes Elastic Load Balancing?

A. It translates a domain name into an IP address using DNS.

It distributes incoming application traffic across one or more Amazon EC2 instances.

It collects metrics on connected Amazon EC2 instances.

It automatically adjusts the number of Amazon EC2 instances to support incoming traffic.

Correct Answer: B

Explanation

Explanation/Reference:

Explanation:

https://aws.amazon.com/elasticloadbalancing/

QUESTION 58

Which of the following are valid ways for a customer to interact with AWS services? (Select TWO.)

Command line interface

On-premises

Software Development Kits

Software-as-a-service

Hybrid

Correct Answer: AC

Explanation

Explanation/Reference:

QUESTION 59

The AWS Cloud's multiple Regions are an example of:

agility.

global infrastructure.

elasticity.

pay-as-you-go pricing.

Correct Answer: B

Explanation

Explanation/Reference:

Amazon Relational Database Service (Amazon RDS) makes it easy to set up, operate, and scale a

relational database in the cloud. It provides cost-efficient and resizable capacity while automating time-

consuming administration tasks such as hardware provisioning, database setup, patching and backups. It

frees you to focus on your applications so you can give them the fast performance, high availability,

security and compatibility they need.

Reference: https://aws.amazon.com/rds/?c=db&sec=srv

QUESTION 67

Which AWS service provides a simple and scalable shared file storage solution for use with Linux-based

AWS and on-premises servers?

A. Amazon S3

Amazon Glacier

Amazon EBS

Amazon EFS

Correct Answer: D

Explanation

Explanation/Reference:

Explanation:

Amazon Elastic File System (Amazon EFS) provides a simple, scalable, fully managed elastic NFS file

system for use with AWS Cloud services and on-premises resources. It is built to scale on demand to

petabytes without disrupting applications, growing and shrinking automatically as you add and remove

files, eliminating the need to provision and manage capacity to accommodate growth.

Amazon EFS is designed to provide the throughput, IOPS, and low latency needed for Linux workloads.

Throughput and IOPS scale as a file system grows and can burst to higher throughput levels for short

periods of time to support the unpredictable performance needs of file workloads. For the most demanding

workloads, Amazon EFS can support performance over 10 GB/sec and up to 500,000 IOPS.

QUESTION 68

When architecting cloud applications, which of the following are a key design principle?

Use the largest instance possible

Provision capacity for peak load

Use the Scrum development process

D. Implement elasticity

Correct Answer: D

Explanation

Explanation/Reference:

Explanation:

"Provisioning for peaks" is a characteristic of a traditional computing environment, per the AWS Best

Practices: "you provision capacity based on an estimate of a theoretical maximum peak." "https://

d1.awsstatic.com/whitepapers/AWS_Cloud_Best_Practices.pdf"

QUESTION 69

Which AWS service should be used for long-term, low-cost storage of data backups?

A. Amazon RDS

B. Amazon Glacier

AWS Snowball

AWS EBS

Correct Answer: B

Explanation

Explanation/Reference:

Explanation:

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AWS云认证专家：责任模型与资源管理详解

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如何将绘制的图片进行保存，要求路径为f'D:\\czjblx\\smmx\\clf-pcl\\TEST\\yh_test\\优化迭代过程图\\优化迭代过程_{i}.png'

plt.savefig(f'D:\\czjblx\\smmx\\clf-pcl\\TEST\\yh_test\\优化迭代过程图\\优化迭代过程_{i}.png')和plt.show()有无先后顺序

基于上述代码进行修改，要求读出excelf'D:\\czjblx\\smmx\\clf-pcl\\TEST\\yh_test\\优化迭代过程\\优化迭代过程_{i}.xlsx，并把表中内容按照第2列“优化值”从大到小排列，并输出最大的优化值，以及同行的X坐标和Y坐标

if elapsed_time > timeout: df = pd.DataFrame(solutions) df.to_excel('D:\czjblx\smmx\clf-pcl\TEST\solutions.xlsx', index=False) break

NameError Traceback (most recent call last) <ipython-input-4-8a2bfd397c66> in <module> 1 #clf = sklearn.linear_model.LogisticRegressionCV() ----> 2 clf.fit(X.T,Y.ravel()) NameError: name 'clf' is not defined

--------------------------------------------------------------------------- NameError Traceback (most recent call last) <ipython-input-3-eaacabd4034d> in <module> 4 5 clf = LogisticRegressionCV() ----> 6 clf.fit(X.T,Y.ravel()) NameError: name 'X' is not defined

df = pd.read_excel(f'D:\\czjblx\\smmx\\clf-pcl\\TEST\\yh_test\\优化迭代过程\\优化迭代过程_{i}.xlsx')

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