Big Data Hive Online Assessment Test
Topics Covered
- Hive Functions
- Hive Operators
- Hive Queries
- Hive Features
Useful for hiring
- Big Data Developer - Hive
- Big Data Scientist- Hive
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Question
Assume bill table as given below:
What will the output return with the following query?
SELECT product, sum(price) FROM bill GROUP BY product
Answer
-
Product Price
Ipad 1200
Iphone 1000
Laptop 1800
Laptop 2000
TV 700
-
Product Price
Ipad 1200
Iphone 1000
Laptop 3800
TV 700
-
Product Price
Ipad 1
Iphone 1
Laptop 2
TV 1
-
Product Price
Laptop 3800
Question
Assume bill table as given below:
What will the output be return with the following query?
SELECT * FROM bill WHERE price > 1000 and quantity > 1;
Answer
Question
Which statement is correct with the code snippet below?
Job maxRunlength = triggerMaxDuration(hdfsConf, args);
Job removeDuplicateJob = triggerRemoveDuplicateJob(hdfsConf, args);
while (!removeDuplicateJob.isComplete() || !maxRunlength.isComplete()) {
System.out.println("Wait");
Thread.sleep(1000);
}
if(maxRunlength.isSuccessful()){
System.out.println("Max duration job completed successfully!");
}
else{
System.out.println("Max duration job failed!");
}
if (removeDuplicateJob.isSuccessful()) {
System.out.println("remove Duplication job completed successfully!");
Job jobFilter = triggerRecordFilter(hdfsConf, args);
while (!jobFilter.isComplete()){
System.out.println("Wait Filter!");
Thread.sleep(1000);
}
if(jobFilter.isSuccessful()){
System.out.println("Fillter job completed successfully!");
Job jobJoinAllData = triggerJoinAllData(hdfsConf, args);
while(!jobJoinAllData.isComplete()){
System.out.println("Wait Join!");
Thread.sleep(1000);
}
if(jobJoinAllData.isSuccessful()){
System.out.println("Join data job completed successfully!");
}
else{
System.out.println("Join data job failed!");
}
}
else{
System.out.println("Max duration job failed!");
}
}
else {
System.out.println("removeDuplicateJob failed!");
}
Note: There can be multiple correct answers to this question.
Answer
-
jobJoinAllData is the final job in this chaining.
-
jobFilter is dependent on removeDuplicateJob
-
maxDuration and removeDuplicateJob are run at the same time.
-
If removeDuplicateJob is a fail, jobFilter and jobJoinAllData are still running.
Test details:
Hive Pre employment Test enables employers and recruiters to identify Big Data - Hive developers by evaluating working skills and job readiness. For this reason, the emphasis is laid upon evaluating the knowledge of applied skills gained through real work experience, rather than theoretical knowledge.
Test Details: 20 minutes
15 Application Questions
05 Theory Questions
The combination of Application and Theory questions helps to evaluate Technical as well as practical Skills of Candidates.
Test description:
Big data Hive Online Test helps Recruiters and Hiring Managers to assess the candidate's skills in Hive before an interview. Hive is useful in storing a structured data in Hadoop. It makes querying and analyzing easy by residing on top of Hadoop to summarize Big Data. Hive is a platform used to develop SQL typescripts for doing MapReduce operations. It is fast, scalable and extensible language. Apache Hive Interview Test is specially designed to check application, practical skills of a Big Data - Hive developer – as per Industry Standards.
Big Data Hive Skills Test contains questions on following Topics:
-
Hive Functions
-
Hive Operators
-
Hive Queries
-
Hive Features
Big Data Hive Assessment Test is designed by our subject matter experts to analyze the job skills of applicants and their knowledge of Hive. Using powerful reporting, you can have a detailed analysis of the test results to help you make a better hiring decision and predict the candidate’s performance.
The test contains MCQ's (Multiple Choice Questions), MAQ's (Multiple Answer Questions), Fill in the Blank, Descriptive, True or False.
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