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Machine Learning in AWS Online Test

About the test:

AWS测试中的机器学习评估了候选人对机器学习概念及其在亚马逊Web服务(AWS)环境中的应用的了解和理解。该测试主要集中于数据科学,数据分析和Python及其库等编程语言等主题。它旨在评估候选人在机器学习技术方面的熟练程度及其利用AWS服务来实施机器学习解决方案的能力。

Covered skills:

  • AWS中的机器学习
  • 数据分析
  • AWS Devops
  • 数据科学
  • Kubernetes

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9 reasons why
9 reasons why

Adaface Machine Learning in AWS Test is the most accurate way to shortlist 数据科学家s



Reason #1

Tests for on-the-job skills

The Machine Learning in AWS Online Test helps recruiters and hiring managers identify qualified candidates from a pool of resumes, and helps in taking objective hiring decisions. It reduces the administrative overhead of interviewing too many candidates and saves time by filtering out unqualified candidates at the first step of the hiring process.

The test screens for the following skills that hiring managers look for in candidates:

  • 能够使用AWS服务构建和部署机器学习模型
  • 能够使用机器学习算法分析和解释数据
  • 在AWS中设计和实施数据科学解决方案的能力
  • 熟练使用统计技术进行数据分析
  • 熟悉Kubernetes的容器编排
  • 了解AWS DevOps实践和工具的知识
  • 能够优化机器学习模型的性能和准确性
  • 对AWS基础架构和服务的强烈了解
  • 在AWS中自动化机器学习工作流程的能力
  • 在AWS中具有数据预处理和功能工程的经验
Reason #2

No trick questions

no trick questions

Traditional assessment tools use trick questions and puzzles for the screening, which creates a lot of frustration among candidates about having to go through irrelevant screening assessments.

View sample questions

The main reason we started Adaface is that traditional pre-employment assessment platforms are not a fair way for companies to evaluate candidates. At Adaface, our mission is to help companies find great candidates by assessing on-the-job skills required for a role.

Why we started Adaface
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Reason #3

Non-googleable questions

We have a very high focus on the quality of questions that test for on-the-job skills. Every question is non-googleable and we have a very high bar for the level of subject matter experts we onboard to create these questions. We have crawlers to check if any of the questions are leaked online. If/ when a question gets leaked, we get an alert. We change the question for you & let you know.

How we design questions

这些只是我们库中有10,000多个问题的一个小样本。关于此的实际问题 AWS中的机器学习 将是不可行的.

🧐 Question

Easy

Downtime and Workload
EC2
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ChickTok is a dating app that runs on EC2 behind an ALB. The EC2 instances run in an EC2 Auto Scaling group across multiple AZ. On every Saturday night, the app becomes atleast 5 times slower. Upon investigation, it is found that the CPU utilization reaches 100% within a matter of seconds instead of being a gradual increment. This is happening due to a batch core dating algorithm update that happens on every Saturday 9PM. 
ChickTok wants a solution that

- Tackles the extra workload
- Avoids downtime
Which of the following would you recommend?
 image

Medium

EC2DataProcessing
EC2
S3
Security Groups
Network ACLs
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You work as a Solutions Architect for a data analysis firm. The company stores large datasets on Amazon S3, and you've been tasked with setting up an Amazon EC2 instance to process this data. The EC2 instance will fetch data from S3, process it, and then write the results back to a different S3 bucket.

To ensure security, the EC2 instance should not have direct internet access, and it should only be able to communicate with the S3 buckets. You've decided to place the EC2 instance in a VPC private subnet with a CIDR block of 10.0.1.0/24. The associated security group is set to deny all inbound traffic and allow all outbound traffic.

Which additional configuration should you make to enable the EC2 instance to access the S3 buckets while complying with the security requirements?
A: Modify the Network ACL of the subnet to allow outbound connections to the IP range of the S3 service.
B: Assign a Public IP to the EC2 instance and update the security group to allow inbound and outbound traffic to S3.
C: Add a NAT Gateway in the private subnet and update the route tables to direct S3 traffic to the NAT Gateway.
D: Create an S3 VPC Gateway Endpoint and update the route tables for the private subnet to direct S3 traffic to the VPC Endpoint.
E: Create a VPN connection from the VPC to the S3 buckets.

Medium

Orderly Restoration of RDS with Transaction Logs
RDS
Transaction Logs
Point-in-time recovery
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You work as a database manager for a fintech company that uses an AWS RDS PostgreSQL instance. The company abides by stringent data security standards, which require minimal data loss in the event of database failures or accidental data modifications.

Unexpectedly, an operation that updates a significant number of records in a crucial transaction table is mistakenly run. You discover that this operation occurred at 12:45 PM. Your RDS PostgreSQL instance is configured to perform automated backups every day at 1:00 AM, with transaction logs being backed up every 5 minutes. Furthermore, there is a manual DB snapshot taken at 11:00 AM on the same day. 

To restore the database with minimal data loss, considering the sequence and order of log application, which of the following steps should you execute?
A: Restore from the manual DB snapshot at 11:00 AM, then perform a point-in-time recovery to 12:45 PM.
B: Perform a point-in-time recovery to 12:45 PM.
C: Restore from the last automated backup at 1:00 AM, then apply all transaction logs until 12:45 PM.
D: Restore from the manual DB snapshot at 11:00 AM, then apply transaction logs from 11:00 AM to 12:45 PM.
E: Perform a point-in-time recovery to 11:00 AM, then apply transaction logs from 11:00 AM to 12:45 PM.

Medium

Push Notifications
Dynamic DB
AWS Mobile Push
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Flowlife is a tips iOS app that is running on AWS with ~10 million users in the US. Users can post tips about a particular place (restaurants, businesses etc) and other users can search for the tips in the app. Flowlife wants to implement location based alerts on their iOS app. Users will receive relevant tips in proximity to their location. For maximum user engagement and relevant tips, the tips must be in the low minute count. Which of the following solutions is cost effective?
 image

Medium

SecureEC2Setup
EC2
Security Groups
VPC
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As an AWS Cloud Engineer for a financial institution, you're setting up an EC2 instance in a VPC to host a web application that handles sensitive financial data. The EC2 instance is placed in a private subnet and associated with a security group that only allows inbound HTTPS (port 443) traffic from the internet. You have an Application Load Balancer (ALB) in a public subnet, which forwards incoming traffic to the EC2 instance.

However, during the testing phase, you find that the web application on the EC2 instance is not reachable from the internet, but works fine from within the VPC. 

What could be the reason for this?
A: The security group should allow inbound traffic from the ALB's security group, not the internet.
B: The ALB should be in the private subnet, not the public subnet.
C: EC2 instances hosting sensitive data cannot be reached through an ALB.
D: The ALB and EC2 instance must be in the same subnet.
🧐 Question🔧 Skill

Easy

Downtime and Workload
EC2

2 mins

AWS
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Medium

EC2DataProcessing
EC2
S3
Security Groups
Network ACLs

2 mins

AWS
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Medium

Orderly Restoration of RDS with Transaction Logs
RDS
Transaction Logs
Point-in-time recovery

3 mins

AWS
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Medium

Push Notifications
Dynamic DB
AWS Mobile Push

3 mins

AWS
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Medium

SecureEC2Setup
EC2
Security Groups
VPC

2 mins

AWS
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🧐 Question🔧 Skill💪 Difficulty⌛ Time
Downtime and Workload
EC2
AWS
Easy2 mins
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EC2DataProcessing
EC2
S3
Security Groups
Network ACLs
AWS
Medium2 mins
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Orderly Restoration of RDS with Transaction Logs
RDS
Transaction Logs
Point-in-time recovery
AWS
Medium3 mins
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Push Notifications
Dynamic DB
AWS Mobile Push
AWS
Medium3 mins
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SecureEC2Setup
EC2
Security Groups
VPC
AWS
Medium2 mins
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Reason #4

1200+ customers in 75 countries

customers in 75 countries
Brandon

借助 Adaface,我们能够将初步筛选流程优化高达 75% 以上,为招聘经理和我们的人才招聘团队节省了宝贵的时间!


Brandon Lee, 人事主管, Love, Bonito

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Reason #5

Designed for elimination, not selection

The most important thing while implementing the pre-employment AWS中的机器学习 in your hiring process is that it is an elimination tool, not a selection tool. In other words: you want to use the test to eliminate the candidates who do poorly on the test, not to select the candidates who come out at the top. While they are super valuable, pre-employment tests do not paint the entire picture of a candidate’s abilities, knowledge, and motivations. Multiple easy questions are more predictive of a candidate's ability than fewer hard questions. Harder questions are often "trick" based questions, which do not provide any meaningful signal about the candidate's skillset.

Science behind Adaface tests
Reason #6

1 click candidate invites

Email invites: You can send candidates an email invite to the AWS中的机器学习 from your dashboard by entering their email address.

Public link: You can create a public link for each test that you can share with candidates.

API or integrations: You can invite candidates directly from your ATS by using our pre-built integrations with popular ATS systems or building a custom integration with your in-house ATS.

invite candidates
Reason #7

Detailed scorecards & benchmarks

查看样本记分卡
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Reason #8

High completion rate

Adaface tests are conversational, low-stress, and take just 25-40 mins to complete.

This is why Adaface has the highest test-completion rate (86%), which is more than 2x better than traditional assessments.

test completion rate
Reason #9

Advanced Proctoring


Learn more

About the Machine Learning in AWS Assessment Test

Why you should use Pre-employment Machine Learning in AWS Online Test?

The AWS中的机器学习 makes use of scenario-based questions to test for on-the-job skills as opposed to theoretical knowledge, ensuring that candidates who do well on this screening test have the relavant skills. The questions are designed to covered following on-the-job aspects:

  • 在AWS中建立和部署机器学习模型
  • 使用AWS服务实施数据分析技术
  • 在AWS中创建和管理数据管道
  • 在AWS上开发和部署Kubernetes应用程序
  • 在AWS上实施DevOps实践
  • 使用AWS服务进行数据可视化的能力
  • AWS中的培训经验和微调机器学习模型
  • AWS中数据预处理技术的知识
  • 使用AWS服务进行分布式计算和并行处理
  • 集成AWS服务进行实时数据处理

Once the test is sent to a candidate, the candidate receives a link in email to take the test. For each candidate, you will receive a detailed report with skills breakdown and benchmarks to shortlist the top candidates from your pool.

What topics are covered in the Machine Learning in AWS Online Test?

  • AWS中的机器学习

    AWS中的机器学习是人工智能算法和模型的应用,用于分析和解释数据,做出预测并自动化决策过程。在此测试中,它可以评估候选人利用AWS机器学习服务和工具的能力,以开发和部署智能应用程序和解决方案。

  • 数据科学

    数据科学涉及使用统计和数学技术从大数据集中提取有价值的见解。测量测试中的这一技能有助于评估候选人在数据操作,探索性数据分析和创建预测模型中的熟练程度,以获得可行的业务见解。

  • 数据分析

    数据分析是该过程检查,清洁,转换和建模数据以发现有用的信息,得出结论并支持决策。该测试包括在此测试中评估候选人使用各种统计和可视化技术分析和解释数据集的能力,从而实现了数据驱动的决策。

  • kubernetes

    kubernetes是一个开源容器编排平台可以自动化容器化应用程序的部署,扩展和管理。在测试中评估这项技能有助于衡量候选人在AWS云环境中使用Kubernetes的部署,管理和扩展应用程序的熟练程度。

  • aws devops

    aws aws devops是指使用AWS Cloud Services和DevOPS原理和实践来简化和自动化软件开发和部署流程。在测试中衡量此技能有助于评估候选人在实施持续集成,持续交付,基础架构自动化以及使用AWS服务和工具进行监控方面的知识和经验。

  • Full list of covered topics

    The actual topics of the questions in the final test will depend on your job description and requirements. However, here's a list of topics you can expect the questions for AWS中的机器学习 to be based on.

    亚马逊射手制造商
    亚马逊重新认知
    亚马逊理解
    亚马逊波莉
    亚马逊转录
    AWS Deeplens
    机器学习算法
    监督学习
    无监督的学习
    强化学习
    回归
    分类
    聚类
    自然语言处理
    计算机视觉
    推荐系统
    时间序列分析
    减少维度
    模型评估和验证
    功能工程
    数据可视化
    大数据分析
    数据清洁
    AWS弹性Kubernetes服务
    Kubernetes建筑
    Kubernetes部署
    kubernetes缩放
    Kubernetes网络
    Kubernetes监视
    Kubernetes安全
    AWS云形式
    AWS CodeCommit
    AWS CodeBuild
    AWS编码人员
    AWS Codepipeline
    AWS Lambda
    AWS弹性Beanstalk
    AWS弹性容器服务
    AWS CloudWatch
    AWS身份和访问管理
    AWS CloudTrail
    AWS配置
    AWS云形式
    AWS X射线
    AWS步骤功能
    AWS系统经理
    AWS Cloud9
    AWS Cloudfront
    AWS 53号公路
    AWS S3
    AWS EC2
    AWS RDS
    AWS DynamoDB
    AWS VPC
    AWS ECS
    aws eks
    AWS Fargate
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What roles can I use the Machine Learning in AWS Online Test for?

  • 数据科学家
  • 机器学习工程师
  • 数据分析师
  • 云工程师
  • 软件开发人员

How is the Machine Learning in AWS Online Test customized for senior candidates?

For intermediate/ experienced candidates, we customize the assessment questions to include advanced topics and increase the difficulty level of the questions. This might include adding questions on topics like

  • 在AWS中应用统计分析和假设检验
  • 使用AWS服务进行数据查询和操纵的经验
  • 了解AWS安全性和数据处理的合规措施
  • 使用AWS ECS了解容器化和编排的知识
  • AWS SageMaker用于机器学习工作流程的经验
  • 将AWS服务用于自然语言处理任务
  • 在AWS中应用功能工程技术进行机器学习
  • 在AWS上设计和实施数据湖泊和数据仓库
  • 使用AWS服务的时间序列分析知识
  • 在AWS中优化和调整机器学习模型的能力
  • 使用AWS服务开发自动部署管道
Singapore government logo

招聘经理认为,通过小组面试中提出的技术问题,他们能够判断哪些候选人得分更高,并与得分较差的候选人区分开来。他们是 非常满意 通过 Adaface 筛选入围的候选人的质量。


85%
减少筛查时间

Machine Learning in AWS Hiring Test 常见问题解答

我可以将多个技能结合在一起,为一个自定义评估吗?

是的,一点没错。自定义评估是根据您的职位描述进行的,并将包括有关您指定的所有必备技能的问题。

您是否有任何反交换或策略功能?

我们具有以下反交易功能:

  • 不可解决的问题
  • IP策略
  • Web Protoring
  • 网络摄像头Proctoring
  • 窃检测
  • 安全浏览器

阅读有关[Proctoring功能](https://www.adaface.com/proctoring)的更多信息。

如何解释考试成绩?

要记住的主要问题是评估是消除工具,而不是选择工具。优化了技能评估,以帮助您消除在技术上没有资格担任该角色的候选人,它没有进行优化以帮助您找到该角色的最佳候选人。因此,使用评估的理想方法是确定阈值分数(通常为55%,我们为您提供基准测试),并邀请所有在下一轮面试中得分高于门槛的候选人。

我可以使用该测试的经验水平?

每个ADAFACE评估都是为您的职位描述/理想候选角色定制的(我们的主题专家将从我们的10000多个问题的图书馆中选择正确的问题)。可以为任何经验级别定制此评估。

每个候选人都会得到同样的问题吗?

是的,这使您比较候选人变得容易得多。 MCQ问题的选项和问题顺序是随机的。我们有[抗欺骗/策略](https://www.adaface.com/proctoring)功能。在我们的企业计划中,我们还可以选择使用类似难度级别的问题创建多个版本的相同评估。

我是候选人。我可以尝试练习测试吗?

不,不幸的是,我们目前不支持实践测试。但是,您可以使用我们的[示例问题](https://www.adaface.com/questions)进行练习。

使用此测试的成本是多少?

您可以查看我们的[定价计划](https://www.adaface.com/pricing/)。

我可以免费试用吗?

我刚刚搬到了一个付费计划。我如何要求自定义评估?

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40 min tests.
No trick questions.
Accurate shortlisting.
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