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Machine Learning in Azure Online Test

About the test:

Azure测试中的机器学习评估了候选人在机器学习生命周期的各个阶段使用Azure机器学习方面的知识和技能。它涵盖了诸如数据准备,模型构建和评估,模型部署,高参数调整等主题。该测试既包括概念性的多项选择问题,也包括编码问题,以评估实际的编程知识和动手经验。

Covered skills:

  • 数据准备和功能工程
  • Azure ML算法
  • Azure ML管道
  • Azure Automl
  • Azure ML可解释性
  • Azure ML模型部署
  • 建造和评估
  • 模型部署和管理
  • 高参数调整
  • Azure ML设计师
  • Azure ML模型解释性

9 reasons why
9 reasons why

Adaface Machine Learning in Azure Test is the most accurate way to shortlist 机器学习工程师s



Reason #1

Tests for on-the-job skills

The Machine Learning in Azure 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:

  • 能够创建和管理Azure ML工作区
  • 精通Azure ML的数据预处理和清洁技术
  • 能够在Azure ML中构建和评估机器学习模型
  • 擅长利用Azure ML算法进行模型开发
  • 在Azure ML中部署和管理机器学习模型方面经验丰富
  • 熟悉自动化机器学习工作流的Azure ML管道
  • 在Azure ML中知识渊博的高参数调谐技术
  • 有能力利用Azure Automl进行自动模型培训
  • 熟练使用Azure ML设计师设计机器学习工作流程
  • 能够在Azure ML中解释机器学习模型
  • 能够解释Azure ML模型的预测和输出
  • 熟练地将机器学习模型部署为Azure的Web服务
  • 擅长利用Azure ML进行模型部署和管理
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
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 机器学习 将是不可行的.

🧐 Question

Medium

Backup and Restore Strategy
Databases
Backup
Recovery
Solve
You are a database administrator for an organization that uses Azure SQL Database for its operations. The organization has a strict data retention policy and has set up the following backup strategy:

1. Full backups are taken every Sunday at midnight.
2. Differential backups are taken every day at midnight, excluding Sunday.
3. Transaction log backups are taken every hour on the hour.

On Wednesday at 2:30 PM, a failure occurred, and the latest backup files available are: full backup from the previous Sunday, differential backups for Monday and Tuesday, and transaction log backups up to Wednesday 2 PM.

In order to restore the database to the most recent point in time with the minimum amount of data loss, in what order should you restore the backups?
A: Restore the full backup, then the differential backup for Tuesday, then the differential backup for Wednesday, then each transaction log backup from midnight on Wednesday to 2 PM on Wednesday.

B: Restore the full backup, then the differential backup for Wednesday, then each transaction log backup from midnight on Wednesday to 2 PM on Wednesday.

C: Restore the full backup, then each differential backup from Monday and Tuesday, then each transaction log backup from midnight on Wednesday to 2 PM on Wednesday.

D: Restore the full backup, then the differential backup for Monday, then each transaction log backup from midnight on Monday to 2 PM on Wednesday.

E: Restore the full backup, then the differential backup for Tuesday, then each transaction log backup from midnight on Tuesday to 2 PM on Wednesday.

Medium

Resolving Connection Issues
Virtual Machines
Networking
Security
Solve
You are an Azure Administrator and you manage a Linux VM running an internal web application in Azure. The web application communicates with a database server hosted on another VM in the same Virtual Network (VNet).

Recently, users have reported that the web application is not accessible. After initial troubleshooting, you have identified that the web application VM is unable to establish a connection with the database server VM on port 5432.

You have checked and confirmed the following:

1. Both VMs are up and running without any issues.
2. Both VMs are located in the same VNet and subnet.
3. Both VMs can successfully ping each other.
4. A Network Security Group (NSG) is associated with the subnet, and it has a rule allowing all outbound traffic from the web application VM.
5. The NSG rule for inbound traffic to the database VM on port 5432 has a higher priority than the default deny all rule.

Given the information provided, what could be the most likely reason for the issue and the appropriate resolution?
A: Add a route table to the subnet to enable communication between the VMs.

B: The NSG rule priority for the inbound traffic to the database VM is not set correctly. Adjust the priority to be lower than the default rule.

C: Check if a firewall is enabled on the database VM that might be blocking the port. If so, configure it to allow connections on port 5432.

D: The issue is related to the DNS resolution. Update the DNS settings in the VNet to enable name resolution between the VMs.

E: The web application is not correctly configured to connect to the database. Update the connection string in the web application configuration.

Medium

Resolving NSG Configuration Issues
Virtual Machines
Security
Solve
You are an Azure Administrator in a software development company. A Linux VM is deployed on Azure, hosting an application server running on port 5000, set to start whenever the VM is booted up.

The VM is associated with a Network Security Group (NSG) having the following inbound security rules:

- Rule 100 (Priority: 100): Allow SSH (port 22) from any source
- Rule 200 (Priority: 200): Allow HTTP (port 80) from any source
- Rule 400 (Priority: 400): Allow TCP traffic on port 5000 from any source
- Rule 300 (Priority: 300): Deny all inbound traffic from any source

The outbound security rules are configured to allow all traffic to any destination.

Internal users have been attempting to connect to the application server on port 5000 but they are consistently facing connection timeouts. You've confirmed the application server is up and running, and you can connect to the server locally on the VM.

What is the most probable cause of the problem and how would you fix it?
A: The inbound rule to allow TCP traffic on port 5000 is conflicting with the rule to allow HTTP on port 80. Remove Rule 200.

B: Rule 300 to deny all inbound traffic is being processed before Rule 400 to allow traffic on port 5000. Modify the priority of Rule 400 to a value less than 300.

C: The application server should be configured to listen on a well-known port instead of port 5000. Change the server settings.

D: The NSG is missing an inbound rule to allow ICMP traffic. Add a new rule with a lower priority.

E: The NSG needs to have an outbound rule specifically allowing traffic to port 5000. Add a new outbound rule.
🧐 Question🔧 Skill

Medium

Backup and Restore Strategy
Databases
Backup
Recovery

2 mins

Azure
Solve

Medium

Resolving Connection Issues
Virtual Machines
Networking
Security

2 mins

Azure
Solve

Medium

Resolving NSG Configuration Issues
Virtual Machines
Security

2 mins

Azure
Solve
🧐 Question🔧 Skill💪 Difficulty⌛ Time
Backup and Restore Strategy
Databases
Backup
Recovery
Azure
Medium2 mins
Solve
Resolving Connection Issues
Virtual Machines
Networking
Security
Azure
Medium2 mins
Solve
Resolving NSG Configuration Issues
Virtual Machines
Security
Azure
Medium2 mins
Solve
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

Reason #5

Designed for elimination, not selection

The most important thing while implementing the pre-employment 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 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
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 Azure Assessment Test

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

The 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:

  • 了解Azure机器学习的基础知识
  • 使用Azure ML的数据预处理和清洁技术
  • 具有Azure ML的功能工程和选择
  • 在Azure ML中建立和评估机器学习模型
  • 使用各种Azure ML算法进行分类和回归
  • 在Azure ML中部署和管理模型
  • 创建和执行Azure ML管道
  • 在Azure ML中调整超参数
  • 利用Azure Automl进行自动选择和调整
  • 使用Azure ML设计师设计机器学习工作流程

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 Azure Online Test?

  • 模型构建和评估

    模型构建和评估的重点是使用不同的算法创建ML模型和技术,以及评估其性能和准确性。在测试中测量了该技能,以评估候选人构建有效ML模型并使用适当指标评估其结果的能力。

  • Azure ML ML算法

    azure ML算法包括一系列PER - 可用于各种类型的数据分析和预测任务的ML模型和技术。在测试中测量了该技能,以确定候选人对不同Azure ML算法的熟悉程度及其对特定方案的适用性。

  • 模型部署和管理

    模型部署和管理涉及涉及的过程将ML模型部署到生产环境中,监视其性能以及进行必要的更新和改进。在测试中测量了这项技能,以评估候选人对端到端ML模型生命周期的理解及其使用Azure ML。 P> Azure ML管道可以实现ML工作流的创建和编排,自动化数据准备,模型培训和部署的步骤。在测试中测量了该技能,以评估候选人使用Azure ML。 ML模型以最大化其性能和概括。在测试中测量了该技能,以评估候选人的知识和专业知识,以应用Azure ML进行超参数调整技术。

  • azure automl automl

    azure automl是Azure ML的功能模型选择和超参数调整的过程,从而可以通过最少的手动干预开发高性能的ML模型。在测试中测量了该技能,以评估候选人对Azure Automl的理解及其利用其功能进行有效的ML模型开发的能力。

  • azure ML ML Designer

    azure ML ML Designer是一个Azure ML中的无代码工具允许用户使用拖放接口在视觉上构建,训练和部署ML模型。在测试中测量了这项技能,以确定候选人对Azure ML设计师的熟悉程度,以及他们利用其功能来用于ML模型开发的能力。

  • Azure ML ML Model Sublication

    Azure ML模型的解释性涉及为ML模型做出的预测提供解释,从而在决策过程中建立信任和理解。在测试中测量了该技能,以评估候选人在利用Azure ML模型的熟练程度上解释性功能,以提供透明且可解释的ML模型。

  • Azure ML ML模型部署

    Azure ML模型部署涉及将经过训练的ML模型作为Web服务或API部署,从而实现实时预测并与其他应用程序集成。在测试中测量了该技能,以评估候选人使用Azure ML部署技术在生产环境中部署ML模型的能力。

  • 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 机器学习 to be based on.

    Azure ML工作区
    Azure ML Studio
    Azure ML数据集
    Azure ML实验
    数据预处理
    功能工程
    功能选择
    探索性数据分析
    数据可视化
    建筑模型
    模型评估
    交叉验证
    评估指标
    Azure ML算法
    监督学习
    无监督的学习
    分类算法
    回归算法
    聚类算法
    减少维度
    Azure ML模型部署
    Web服务部署
    模型版本
    模型监视
    Azure ML管道
    管道创建
    管道调度
    管道监控
    高参数调整
    网格搜索
    随机搜索
    贝叶斯优化
    Azure Automl
    自动模型选择
    自动化超参数调整
    自动化功能工程
    Azure ML设计师
    拖放模型开发
    自定义模块创建
    管道执行
    Azure ML可解释性
    特征重要性
    模型解释
    局部解释性
    全球可解释性
    Azure ML模型解释性
    可解释的机器学习
    可解释的AI
    反事实解释
    Azure ML模型部署
    Azure Kubernetes服务(AKS)
    Azure容器实例(ACI)
    申请见解
    Azure ML模型管理
    模型版本
    模型部署插槽
    模型缩放和性能
    连续集成和部署(CI/CD)

What roles can I use the Machine Learning in Azure Online Test for?

  • 机器学习工程师
  • 数据科学家
  • 数据分析师
  • AI工程师
  • 软件工程师
  • 数据工程师
  • 业务分析师
  • 研究科学家
  • AI顾问
  • 人工智能研究员

How is the Machine Learning in Azure 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

  • 使用Azure ML解释性解释和解释模型
  • 使用Azure ML模型部署部署生产模型
  • 了解Azure Databricks及其与Azure ML的集成
  • 利用Azure ML进行自然语言处理(NLP)任务
  • 使用Azure ML实施计算机视觉解决方案
  • 在Azure ML中使用时间序列数据
  • 用Azure ML处理分布式计算
  • 利用Azure ML进行增强学习
  • 在Azure ML中应用异常检测技术
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 Azure 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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