Big Data Engineer Test Overview
This Big Data Engineer test evaluates candidates’ technical knowledge of data management and their ability to comprehend key data elements and patterns such as exponential, random, seasonality, etc. This test will help technical recruiters identify potential candidates for various big data engineering roles.
Expected Skills
- Analytical skills and Data visualization
- Frameworks like Apache Pig, Flume, MapReduce, HDFS, YARN
- SQL technologies
- Talend, IBM Data Stage, Pentaho, Informatica
- Operating systems like Linux, Unix, Solaris, and Windows
Test Category
Type – Multiple Choice Questions
Time – 10 mins
Language – English
Level – Entry
Difficulty – Easy
Test Questions
- The Apache Spark project is characterized as ________________.
- Large-scale graph processing
- Large-scale machine learning
- Live data stream processing
- All of these
- None of these
- Where is Big SQ not applied in terms of performance improvement?
- Query Optimization
- None of these
- Predicate Pushdown
- Compression efficiency
- Load data into DB2 and return the data
- What does SerDe interface not provide?
- Deserializer interface takes a string or binary representation of a record and translates it into a Java object that Big SQL can manipulate
- Allows SQL-style queries across data that is often not appropriate for a relational database
- SerDe interface has to be built using C or C++ language
- Serializer takes a Java object that Big SQL has been working with, and turns it into a format that BigSQL can write to HDFS
- None of these
- What will be the outcome of the Bulk Load application in HBase for loading large data volumes?
- There will be no change in the outcome
- Fewer network resources but increased CPU usage
- Less CPU usage but increased network resource
- All of these
- None of these
- How do you improve query performance on large Hive tables?
- De-normalizing data
- Indexing
- Bucketing
- Partitioning
- None of these
Who should take the Big Data Engineer Skills Test?
We know that skills matter over academic pedigree. So, candidates interested in big data engineering along with relevant competencies and credentials can take up the test.
Skill tests from Glider AI to check your competency against various roles and get noticed by top recruiters.
How can Glider AI help you with Hiring a Big Data Engineer?
Glider’s recruitment platform is built on the mission, of “competency over credentials”. This way, you can make the most of the hiring assessments through a structured and data-driven candidate-evaluation process.
Glider AI’s Unique Features
- Conversational Chatbot for Talent Screening
- On-demand One-way Interviews
- Interactive, coding-enabled skill tests
- Task-based and Live Coding enabled Video Interviews
- Advanced AI proctoring
- Powerful candidate analytics
Discover Hiring Resources for Big Data Engineer
- Hiring a Big Data Engineer
- Big Data Engineer Job Description
- Big Data Engineer Interview Questions
- How to hire a Big Data Engineer
Access 2,000 pre-built assessments covering over 500 skills with 250,000 questions, all validated by 2,000 SMEs including this for the Big Data Engineer role.
Go ahead and spotlight your Big Data Engineer with Glider AI today!
You can always write to us at info@glider.ai to help you access the hiring resources.
