Hive Online Test

Q: What are the main Big Data tests?

Our main Big Data tests include: Hive Test Spark Test Hadoop Online Test Pig Test

The Hive Test evaluates a candidate's proficiency in Apache Hive, focusing on HiveQL, data management, and integration with the Hadoop ecosystem. It assesses understanding of Hive architecture, query optimization, data partitioning, and performance tuning through scenario-based MCQs and coding questions. The test covers essential concepts for effectively working with large-scale data processing and analysis using Hive.

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Screen candidates with a 30 mins test

Test duration: ~ 30 mins

Difficulty level: Moderate

Availability: Available as custom test

Questions:

12 Hive MCQs

Covered skills:

Hive Architecture

HiveQL and Query Language

Data Types and Tables

Partitioning and Bucketing

Hive Joins and Set Operations

User-Defined Functions (UDFs)

Hive Performance Tuning

Data Storage and Formats

Hive Security and Authorization

Integration with Hadoop Ecosystem

Hive Streaming

Hive Metastore

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Use the Hive Test to shortlist qualified candidates

The Hive 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:

Efficiently write and execute Hive queries
Demonstrate understanding of Hive data types and built-in functions
Optimize Hive queries for performance
Apply Hive partitions and buckets for data organization
Implement Hive joins and subqueries
Utilize Hive views and user-defined functions
Work with Hive external tables and loading data
Manage Hive databases, tables, and metadata
Understand Hive query optimization techniques
Implement Hive data transformations using ETL processes
Utilize Hive indexes for improved query performance
Troubleshoot and debug Hive scripts and queries

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Screen candidates with the highest quality 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

These are just a small sample from our library of 15,000+ questions. The actual questions on this Hive Test will be non-googleable.

🧐 Question
Medium Analyzing Hive Join Optimization Hive Query Optimization Map-side Join	Solve
Consider the following two Hive tables in a space adventure context: Assume that the astronauts table is small and can fit in memory. Which of the following queries will take full advantage of a map-side join?
Medium Hive Archive Data Management Partitioning Data Storage	Solve
You have a partitioned Hive table sales_data with the following schema: You want to archive the oldest partition (date='2023-01-01', region='North America') and store it in the Hadoop Distributed File System (HDFS) at /archive/sales_data. Which of the following steps is the correct approach to perform the archiving operation? A: Enable archiving on the table, and then issue an ALTER TABLE statement to move the partition to the archive directory. B: Issue an ALTER TABLE statement to move the partition to the archive directory, and then lock the partition to prevent further modifications. C: Enable archiving on the table, and then use the EXPORT command to export the partition to the archive directory. D: Use the EXPORT command to export the partition to the archive directory, and then lock the partition to prevent further modifications. E: Use the EXPORT command to export the partition to the archive directory, and then drop the partition from the sales_data table.
Hard Jobs file Hive Query Writing Data Ingestion	Solve
Assuming the following Hive statements execute successfully, choose the correct statements that describe the result: A. Hive reformats JobsFile2 into a structure that Hive can access and moves into to /user/steve/fenty/ B. The file named JobsFile2 is moved to to/user/steve/fenty/ C. The contents of JobsFile2 are parsed as comma-delimited rows and loaded into /user/steve/fenty/ D. The contents of JobsFile2 are parsed as comma-delimited rows and stored in a database

	🧐 Question	🔧 Skill
	Medium Analyzing Hive Join Optimization Hive Query Optimization Map-side Join	3 mins Hive	Solve
Consider the following two Hive tables in a space adventure context: Assume that the astronauts table is small and can fit in memory. Which of the following queries will take full advantage of a map-side join?
	Medium Hive Archive Data Management Partitioning Data Storage	3 mins Hive	Solve
You have a partitioned Hive table sales_data with the following schema: You want to archive the oldest partition (date='2023-01-01', region='North America') and store it in the Hadoop Distributed File System (HDFS) at /archive/sales_data. Which of the following steps is the correct approach to perform the archiving operation? A: Enable archiving on the table, and then issue an ALTER TABLE statement to move the partition to the archive directory. B: Issue an ALTER TABLE statement to move the partition to the archive directory, and then lock the partition to prevent further modifications. C: Enable archiving on the table, and then use the EXPORT command to export the partition to the archive directory. D: Use the EXPORT command to export the partition to the archive directory, and then lock the partition to prevent further modifications. E: Use the EXPORT command to export the partition to the archive directory, and then drop the partition from the sales_data table.
	Hard Jobs file Hive Query Writing Data Ingestion	2 mins Hive	Solve
Assuming the following Hive statements execute successfully, choose the correct statements that describe the result: A. Hive reformats JobsFile2 into a structure that Hive can access and moves into to /user/steve/fenty/ B. The file named JobsFile2 is moved to to/user/steve/fenty/ C. The contents of JobsFile2 are parsed as comma-delimited rows and loaded into /user/steve/fenty/ D. The contents of JobsFile2 are parsed as comma-delimited rows and stored in a database

	🧐 Question	🔧 Skill	💪 Difficulty	⌛ Time
	Analyzing Hive Join Optimization Hive Query Optimization Map-side Join	Hive	Medium	3 mins	Solve
Consider the following two Hive tables in a space adventure context: Assume that the astronauts table is small and can fit in memory. Which of the following queries will take full advantage of a map-side join?
	Hive Archive Data Management Partitioning Data Storage	Hive	Medium	3 mins	Solve
You have a partitioned Hive table sales_data with the following schema: You want to archive the oldest partition (date='2023-01-01', region='North America') and store it in the Hadoop Distributed File System (HDFS) at /archive/sales_data. Which of the following steps is the correct approach to perform the archiving operation? A: Enable archiving on the table, and then issue an ALTER TABLE statement to move the partition to the archive directory. B: Issue an ALTER TABLE statement to move the partition to the archive directory, and then lock the partition to prevent further modifications. C: Enable archiving on the table, and then use the EXPORT command to export the partition to the archive directory. D: Use the EXPORT command to export the partition to the archive directory, and then lock the partition to prevent further modifications. E: Use the EXPORT command to export the partition to the archive directory, and then drop the partition from the sales_data table.
	Jobs file Hive Query Writing Data Ingestion	Hive	Hard	2 mins	Solve
Assuming the following Hive statements execute successfully, choose the correct statements that describe the result: A. Hive reformats JobsFile2 into a structure that Hive can access and moves into to /user/steve/fenty/ B. The file named JobsFile2 is moved to to/user/steve/fenty/ C. The contents of JobsFile2 are parsed as comma-delimited rows and loaded into /user/steve/fenty/ D. The contents of JobsFile2 are parsed as comma-delimited rows and stored in a database

Test candidates on core Hive Hiring Test topics

Hive: Hive is a data warehouse infrastructure that provides a query language called HiveQL to analyze large datasets stored in Hadoop. It allows users to write SQL-like queries which are then translated into MapReduce or Tez jobs for execution. This skill is measured in the test to assess a candidate's ability to process and analyze large-scale data using Hive.

Online Test: An online test refers to an assessment conducted using digital tools and platforms over the internet. It is designed to evaluate a candidate's knowledge, skills, and abilities in a specific domain or field. This skill is measured in the test to provide recruiters with a convenient and efficient way to assess candidates remotely, saving time and resources.

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Have questions about the Hive Hiring Test?

What roles can I use the Hive Test for?

Here are few roles for which we recommend this test:

Big Data Engineer
Data Scientist
Hadoop Developer
Data Analyst
Business Intelligence Developer
Database Administrator
ETL Developer
Data Architect
Cloud Data Engineer
Data Warehouse Specialist

Can I combine the Hive Test with Python questions?

Yes, you can request a custom test that includes both Hive and Python skills. Check out our Python Online Test for more details on how we assess Python skills.

How to use Hive Test in my hiring process?

Use the Hive Test as a pre-screening tool early in your recruitment. Add the test link in job posts or invite candidates via email to identify skilled candidates promptly.

What are the main Big Data tests?

Our main Big Data tests include:

Do you have any anti-cheating or proctoring features in place?

We have the following anti-cheating features in place:

Non-googleable questions
IP proctoring
Screen proctoring
Web proctoring
Webcam proctoring
Plagiarism detection
Secure browser
Copy paste protection

Read more about the proctoring features.

What experience level can I use this test for?

Each Adaface assessment is customized to your job description/ ideal candidate persona (our subject matter experts will pick the right questions for your assessment from our library of 10000+ questions). This assessment can be customized for any experience level.

I'm a candidate. Can I try a practice test?

No. Unfortunately, we do not support practice tests at the moment. However, you can use our sample questions for practice.

Can I get a free trial?

Yes, you can sign up for free and preview this test.

What is Hive Test?

The Hive Test evaluates a candidate's proficiency in Apache Hive. It is used by recruiters to identify candidates with strong skills in data warehousing solutions built on Hadoop, ensuring they can perform complex data analysis and reporting.

How are senior-level skills evaluated in the Hive Test?

Senior roles are evaluated through questions covering design of complex data models, advanced optimization techniques, partitioning/bucketing strategies, and integration with external data systems.

Can I test Hive and Spark together in a test?

Yes, combining Hive and Spark skills in a single test is recommended. It helps assess a candidate's overall Big Data capabilities. Explore our Spark Test for more details.

Can I combine multiple skills into one custom assessment?

Yes, absolutely. Custom assessments are set up based on your job description, and will include questions on all must-have skills you specify. Here's a quick guide on how you can request a custom test.

How do I interpret test scores?

The primary thing to keep in mind is that an assessment is an elimination tool, not a selection tool. A skills assessment is optimized to help you eliminate candidates who are not technically qualified for the role, it is not optimized to help you find the best candidate for the role. So the ideal way to use an assessment is to decide a threshold score (typically 55%, we help you benchmark) and invite all candidates who score above the threshold for the next rounds of interview.

Does every candidate get the same questions?

Yes, it makes it much easier for you to compare candidates. Options for MCQ questions and the order of questions are randomized. We have anti-cheating/ proctoring features in place. In our enterprise plan, we also have the option to create multiple versions of the same assessment with questions of similar difficulty levels.

What is the cost of using this test?

You can check out our pricing plans.

I just moved to a paid plan. How can I request a custom assessment?

Here is a quick guide on how to request a custom assessment on Adaface.

Hive Online Test

Screen candidates with a 30 mins test

Use Adaface tests trusted by recruitment teams globally

Use the Hive Test to shortlist qualified candidates

Screen candidates with the highest quality questions

Test candidates on core Hive Hiring Test topics

Make informed decisions with actionable reports and benchmarks

Screen candidates in 3 easy steps

Pick a test from over 500+ tests

Invite your candidates with 2-clicks

Make informed hiring decisions

Try the most advanced candidate assessment platform

ChatGPT Protection

Non-googleable Questions

Web Proctoring

IP Proctoring

Webcam Proctoring

MCQ Questions

Coding Questions

Typing Questions

Personality Questions

Custom Questions

Ready-to-use Tests

Custom Tests

Custom Branding

Bulk Invites

Public Links

ATS Integrations

Multiple Question Sets

Custom API integrations

Role-based Access

Priority Support

GDPR Compliance

Pick a plan based on your hiring needs

See related tests

SQL Online Test

Hadoop Online Test

Big Data - Pig Test

Data Warehouse Online Test

Analytical Skills Test

Have questions about the Hive Hiring Test?

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