Why you should use MongoDB Online Test?

The MongoDB测试 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: MongoDB基础知识 - 了解MongoDB的基本概念和特征数据建模 - 在MongoDB中设计数据的结构和组织 CRUD操作 - 执行MongoDB中的创建，阅读，更新和删除操作主要的MONGODB数据类型 - 使用字符串，数字，数组和MongoDB中的对象查询语言和查询操作员 - 使用MongoDB的查询语言和操作员构建和执行查询文档和收藏 - 管理和操纵MongoDB的文件和藏品聚合框架 - 使用MongoDB的聚合框架执行数据分析和聚合 MongoDB查询计划 - 了解和优化MongoDB中的查询执行计划 MongoDB Profiler-监视和分析MongoDB查询和操作的性能副本集和碎片 - 在MongoDB中配置和管理副本集和碎片

MongoDB Online Test

Q: 我可以在同一个测试中评估 SQL 和 MongoDB 技能吗？

是的。您可以在同一个测试中评估 MongoDB 和 SQL 技能。您可以查看我们的标准 SQL 测试 以了解将使用哪些问题。

Q: What topics are covered in the MongoDB Online Test?

MongoDB基础知识 数据建模 Crud操作 主要的MongoDB数据类型（字符串；数字；数组；对象） 查询语言和查询操作员 文件和收藏 聚合框架 MongoDB查询计划 MongoDB Profiler 复制品和碎片 垂直缩放 容错和部署 索引和性能 MongoDB的安全性 备份和恢复

About the test:

MongoDB测试使用基于方案的MCQ问题来评估候选人在MongoDB中设计有效的NOSQL模式，进行CRUD操作，有效地进行过滤数据，使用索引提高性能并使用MongoDB Profiler，Replica Sets和Sharding进行优化/扩展MongoDB群集。

Covered skills:

MongoDB基础知识
Crud操作
查询语言和查询操作员
聚合框架
MongoDB Profiler
垂直缩放
索引和性能
备份和恢复

数据建模
主要的MongoDB数据类型（字符串；数字；数组；对象）
文件和收藏
MongoDB查询计划
复制品和碎片
容错和部署
MongoDB的安全性

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9 reasons why

Adaface MongoDB Test is the most accurate way to shortlist MongoDB开发人员s

Reason #1

Tests for on-the-job skills

The MongoDB 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:

了解MongoDB及其优势的基础知识
为MongoDB数据库设计有效的数据模型
在MongoDB上进行CRUD操作
使用主要的mongoDB数据类型（字符串，数字，数组，对象）
使用MongoDB查询语言和查询操作员编写查询
在MongoDB中管理文档和藏品
利用MongoDB中的聚合框架
分析MongoDB查询计划以进行绩效优化
使用mongoDB剖面仪监视查询性能
了解MongoDB中复制集和碎片的概念
在MongoDB中实施垂直缩放
确保MongoDB的容错和部署最佳实践
创建和优化索引以提高性能
了解和实施MongoDB的安全措施
在MongoDB中执行备份和恢复操作

Reason #2

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 MongoDB测试将是不可行的.

🧐 Question
Medium Index key order	Solve
Consider the following indexes on "musk" collection and the written queries. Select the queries that will use an index: A) db.musk.find( { title : "SpaceX" } ) B) db.musk.find( { _id : 22, date: ISODate("2020-01-01" } ) C) db.musk.find( { date: ISODate("2020-01-01"), biz : "ElonSpaceX" } ) D) db.musk.find( { contact : "111-111-1111"), info : "000-000-0000" } )
Medium Unwind	Solve
Given the following movies document in MongoDB, What will be the output of the query:
Medium Indexing Sorting	Solve
Given the following sample document in Mongodb: { x: 5, y: 3, z: 2, w: 1 } If the collection name is 'adaface' with a compound index { x: 1, y: 1, z: 1, w: 1}, which of the following queries will not use in-memory sorting?
Medium Shard chunk	Solve
Read the following chunk and pick the correct statements that apply: A: The shard key defined for "sessions" collection is {userId: 1, sessionId: 1} B: All documents in chunk "test.sessions-abc-yxz" are located in shard "sh-1" C: Documents with fields {"userId": 10, "sessionId": "AB01" } are located part of chunk "test.sessions-abc-yxz"

	🧐 Question	🔧 Skill
	Medium Index key order	2 mins MongoDB	Solve
Consider the following indexes on "musk" collection and the written queries. Select the queries that will use an index: A) db.musk.find( { title : "SpaceX" } ) B) db.musk.find( { _id : 22, date: ISODate("2020-01-01" } ) C) db.musk.find( { date: ISODate("2020-01-01"), biz : "ElonSpaceX" } ) D) db.musk.find( { contact : "111-111-1111"), info : "000-000-0000" } )
	Medium Unwind	2 mins MongoDB	Solve
Given the following movies document in MongoDB, What will be the output of the query:
	Medium Indexing Sorting	2 mins MongoDB	Solve
Given the following sample document in Mongodb: { x: 5, y: 3, z: 2, w: 1 } If the collection name is 'adaface' with a compound index { x: 1, y: 1, z: 1, w: 1}, which of the following queries will not use in-memory sorting?
	Medium Shard chunk	3 mins MongoDB	Solve
Read the following chunk and pick the correct statements that apply: A: The shard key defined for "sessions" collection is {userId: 1, sessionId: 1} B: All documents in chunk "test.sessions-abc-yxz" are located in shard "sh-1" C: Documents with fields {"userId": 10, "sessionId": "AB01" } are located part of chunk "test.sessions-abc-yxz"

	🧐 Question	🔧 Skill	💪 Difficulty	⌛ Time
	Index key order	MongoDB	Medium	2 mins	Solve
Consider the following indexes on "musk" collection and the written queries. Select the queries that will use an index: A) db.musk.find( { title : "SpaceX" } ) B) db.musk.find( { _id : 22, date: ISODate("2020-01-01" } ) C) db.musk.find( { date: ISODate("2020-01-01"), biz : "ElonSpaceX" } ) D) db.musk.find( { contact : "111-111-1111"), info : "000-000-0000" } )
	Unwind	MongoDB	Medium	2 mins	Solve
Given the following movies document in MongoDB, What will be the output of the query:
	Indexing Sorting	MongoDB	Medium	2 mins	Solve
Given the following sample document in Mongodb: { x: 5, y: 3, z: 2, w: 1 } If the collection name is 'adaface' with a compound index { x: 1, y: 1, z: 1, w: 1}, which of the following queries will not use in-memory sorting?
	Shard chunk	MongoDB	Medium	3 mins	Solve
Read the following chunk and pick the correct statements that apply: A: The shard key defined for "sessions" collection is {userId: 1, sessionId: 1} B: All documents in chunk "test.sessions-abc-yxz" are located in shard "sh-1" C: Documents with fields {"userId": 10, "sessionId": "AB01" } are located part of chunk "test.sessions-abc-yxz"

Reason #4

1200+ customers in 75 countries

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 MongoDB测试 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 MongoDB测试 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.

Reason #7

Detailed scorecards & benchmarks

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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.

Reason #9

Advanced Proctoring

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About the MongoDB Assessment Test

Why you should use Pre-employment MongoDB Online Test?

The MongoDB测试 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:

MongoDB基础知识 - 了解MongoDB的基本概念和特征
数据建模 - 在MongoDB中设计数据的结构和组织
CRUD操作 - 执行MongoDB中的创建，阅读，更新和删除操作
主要的MONGODB数据类型 - 使用字符串，数字，数组和MongoDB中的对象
查询语言和查询操作员 - 使用MongoDB的查询语言和操作员构建和执行查询
文档和收藏 - 管理和操纵MongoDB的文件和藏品
聚合框架 - 使用MongoDB的聚合框架执行数据分析和聚合
MongoDB查询计划 - 了解和优化MongoDB中的查询执行计划
MongoDB Profiler-监视和分析MongoDB查询和操作的性能
副本集和碎片 - 在MongoDB中配置和管理副本集和碎片

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 MongoDB Online Test?

mongoDB基础知识
mongoDB基础知识涵盖了mongoDB的基本概念和特征，包括面向文档的数据存储，示意图设计以及使用BSON（二进制JSON）用于数据表示。该技能应在测试中衡量，以评估候选人对构成MongoDB基础的核心概念的理解。
数据建模
数据建模侧重于设计结构和组织MongoDB中的数据，包括实体关系建模，典型规范化和架构设计模式。评估候选人为MongoDB数据库设计有效且可扩展的数据模型的能力的能力是很重要的。
crud操作
crud操作是指创建，读取，更新和删除在MongoDB文档上执行的操作。应测量此技能以评估候选人在执行基本数据库操作方面的熟练程度，这对于与MongoDB一起工作至关重要。
主要的mongodb数据类型（字符串；数字；数字；数字; arrays; objects）</h4> <p >此技能涵盖了MongoDB中主要数据类型的理解和使用，例如字符串，数字，数组和对象。应评估它以确定候选人对MongoDB中数据操作和存储的熟悉。</p> <h4>查询语言和查询操作员
查询语言和查询运算符，包括用于查询数据的语法和操作员在Mongodb。衡量此技能有助于评估候选人构建复杂查询并利用MongoDB查询语言的全部功能的能力。
文档和集合
文档和集合是数据存储的基础。 mongodb。该技能衡量了候选人对文档和收集方式的理解，如何在mongoDB数据库中结构，组织和互连。
聚合框架
聚合框架与执行聚合操作有关，例如分组，分类和转换数据，在mongoDB中。应衡量此技能以评估候选人在利用MongoDB强大的聚合管道上进行高级数据分析和报告的熟练程度。
mongodb查询计划
MongoDB查询计划涉及分析和优化查询执行计划，包括使用索引和查询计划缓存。应衡量此技能以评估候选人优化查询性能并提高整体数据库效率的能力。
mongodb profiler
mongodb profiler用于监视和分析MongoDB查询和查询的性能运营。衡量此技能有助于评估候选人对分析技术的理解及其识别和解决绩效瓶颈的能力。
副本集和碎片
复制集和sharding sear and sharding and sharding and sharding和水平可扩展性。该技能衡量了候选人在MongoDB中如何配置，管理和故障排除复制集和碎片簇的知识。
垂直缩放
垂直缩放涉及增加单个MongoDB服务器的容量通过添加更多资源，例如CPU，内存和存储。衡量此技能有助于评估候选人对缩放选择的理解及其通过垂直缩放来优化性能的能力。
容错和部署
可容忍和部署覆盖能力，以确保高可用性和高可用性MongoDB部署的可靠性，包括冗余，监视和灾难恢复。应衡量此技能以评估候选人设计和维持易于故障的MongoDB基础架构的能力。
索引和绩效
索引和性能集中在通过使用中优化MongoDB中的查询性能的性能。索引和适当的索引选择。衡量此技能有助于评估候选人对索引类型，工作原则的理解及其设计有效索引策略的能力。
MongoDB中的安全性
MongoDB中的安全性包括身份验证，授权和授权和其他措施保护数据并确保安全访问MongoDB资源。应衡量此技能以评估候选人对MongoDB的安全功能的了解及其实施强大安全惯例的能力。
备份和恢复
备份和恢复均包含创建备份的策略和工具，恢复数据并从MongoDB中的失败中恢复。衡量此技能有助于评估候选人对备份机制，恢复过程以及确保数据完整性和可用性的能力的理解。
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 MongoDB测试 to be based on.
MongoDB的优势
数据建模
Crud操作
字符串
数字
数组
对象
查询语言
查询操作员
文件
收藏
聚合框架
查询计划
MongoDB Profiler
副本集
碎片
垂直缩放
容错
部署
索引
表现
安全
备份
恢复

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What roles can I use the MongoDB Online Test for?

MongoDB开发人员
高级MongoDB开发人员
数据库工程师（MongoDB）
MongoDB管理员
高级MongoDB管理员
数据库管理员（MongoDB）

How is the MongoDB 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