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*Arekere *Bannerghatta *Bhanashakari *Avalahalli Main *Chamrajpet *Seegehalli *Kannamangala *Kadugodi
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WE ARE HIRING! FREE JOB'S
ZEPTO
Need Experience SHIFT INCHARGE
*Arekere *Bannerghatta *Bhanashakari *Avalahalli Main *Chamrajpet *Seegehalli *Kannamangala *Kadugodi
Salary: 26000 СТС 22000 ΝΤΗ
FOR MORE INFO +91 79751 85713
We are looking to hire a **Business Development Executive (BDE)** with immediate joining.
Position: Business Development Executive Qualification:Any Graduate (Freshers welcome) Working Shift:Night Shift only Salary: ₹15,000 + Night Allowance + Attractive Incentives Skills Required:Excellent fluency in English (both spoken and written) Joining:Immediate
need one smart and enthusiastic lady for our store in koramangala
Education: Civil Engineering BE/BTech/Diploma (Pass or Fail) Languages: Kannada, English, Hindi (Speak, Read, Write and Type)
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Jmeter Interview Questions
What Is Jmeter? JMeter is one of the Java tools which is used to perform load testing client/server applications. Apache JMeter is open source software, a 100% pure Java desktop application designed to load test functional behavior and measure performance of the application. It was originally designed for testing Web Applications but has since expanded to other test functions. Explain How Jmeter Works? JMeter acts like a group of users sending requests to a target server. It collects response from target server and other statistics which show the performance of the application or server via graphs or tables. Explain Where You Can Use Functions And Variables? Variables and functions can be written into any field of any test component. Mention What Are Regular Expressions In Jmeter? Based on the pattern, regular expression are used to search and manipulate text. JMeter is useful in interpreting forms of r…Hadoop Interview Questions
On What Concept The Hadoop Framework Works? It works on MapReduce, and it is devised by the Google. What Is Mapreduce? Map reduce is an algorithm or concept to process Huge amount of data in a faster way. As per its name you can divide it Map and Reduce. The main MapReduce job usually splits the input data-set into independent chunks. (Big data sets in the multiple small datasets) MapTask: will process these chunks in a completely parallel manner (One node can process one or more chunks).The framework sorts the outputs of the maps. Reduce Task : And the above output will be the input for the reducetasks, produces the final result. Your business logic would be written in the MappedTask and ReducedTask. Typically both the input and the output of the job are stored in a file-system (Not database). The framework takes care of scheduling tasks, monitoring them and re-executes the failed tasks What Is Comput…