10+ Brown Bricks HR Solutions Interview Questions and Answers

Performance of a Spark job can be improved by optimizing resources, tuning configurations, and optimizing code.

• Optimize resources by increasing memory and CPU cores

• Tune configurations such as executor memory, shuffle partitions, and parallelism

• Optimize code by reducing data shuffling, using broadcast variables, and caching data

• Use appropriate data storage formats such as Parquet or ORC

• Use appropriate cluster management tools such as YARN or Mesos

• Use appropriate hardware such ...read more

Analyzing quality of earnings and revenue in due diligence process involves assessing adjusted EBITDA and other financial metrics.

• Quality of earnings analysis involves assessing the sustainability and reliability of a company's earnings.

• Adjusted EBITDA is a key metric used to evaluate a company's financial performance, as it provides a clearer picture of its operating profitability.

• Revenue analysis involves examining the sources of revenue, the company's pricing strategy, and...read more

AWS Lambda is a serverless computing service that has some limitations.

• AWS Lambda has a maximum execution time of 15 minutes.

• It has a maximum memory allocation of 3GB.

• It has a maximum package size of 50MB.

• It has a cold start problem, which can cause latency issues.

• It has limited control over the underlying infrastructure.

• It has limited support for languages other than Node.js, Python, Java, C#, and Go.

Yes, I am open to learning programming languages as it will enhance my analytical skills and make me more versatile in my role as a Senior Analyst.

• I am open to learning programming languages as it will enhance my analytical skills.

• Learning programming languages will make me more versatile in my role as a Senior Analyst.

Elastic Load Balancer is a service provided by AWS to distribute incoming traffic across multiple targets.

• ELB automatically scales to meet traffic demands

• It improves the availability and fault tolerance of applications

• ELB supports multiple protocols and SSL offloading

• It can be used with EC2 instances, containers, and IP addresses

• Examples of ELB include Application Load Balancer and Network Load Balancer

Ey is a leading global professional services firm specializing in compliance and AML services.

• EY is a top professional services firm known for its expertise in compliance and AML

• Strong focus on regulatory compliance and anti-money laundering measures

• Experience in providing strategic advice and solutions to clients in these areas

Hadoop is a distributed storage and processing system while Spark is a fast and general-purpose cluster computing system.

• Hadoop is based on MapReduce programming model while Spark uses Resilient Distributed Datasets (RDDs)

• Spark is faster than Hadoop due to in-memory processing

• Hadoop is better suited for batch processing while Spark is better for iterative processing and real-time data processing

• Hadoop has a complex ecosystem while Spark has a simpler one

• Hadoop is written in J...read more

Spark architecture is a distributed computing framework that allows processing of large datasets in parallel across a cluster of computers.

• Spark has a master-slave architecture with a driver program that communicates with the cluster manager to allocate resources and schedule tasks.

• The cluster manager can be YARN, Mesos or Spark's own standalone cluster manager.

• Spark applications are written in high-level APIs like Spark SQL, Spark Streaming, MLlib, and GraphX.

• Spark uses Resi...read more

Cache is a hardware or software component that stores data to reduce access time and improve performance.

• Cache is used to store frequently accessed data closer to the processor for faster access.

• There are three types of cache: L1, L2, and L3.

• L1 cache is the smallest and fastest, while L3 cache is the largest and slowest.

• Cache can be found in CPUs, hard drives, and web browsers.

• Cache can be cleared to free up space or resolve issues with outdated data.

Window function is used to perform calculations on a specific subset of data in a table.

• Window function operates on a set of rows and returns a single value for each row.

• It is used to calculate running totals, moving averages, and rank functions.

• Examples include ROW_NUMBER(), RANK(), DENSE_RANK(), and NTILE().