Media.net Software Services (India) Junior Data Analyst Interview Questions and Answers

Q1. What is the importance of Microsoft Word, Microsoft Office, and Microsoft PowerPoint in your work?
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Q2. You know about the computer knowledge and typing also very important okay and also good environment and good positive and responsible and from more more and more etc and make them very important knowledg...read more
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Q1. Build a MMX Model for the dataset given and share the insights
Ans. 
Build a MMX Model for a given dataset and share insights
• Preprocess the data by handling missing values and encoding categorical variables

• Split the data into training and testing sets

• Build the MMX model using appropriate algorithms like decision trees or random forests

• Evaluate the model using metrics like accuracy, precision, recall, and F1 score

• Interpret the model results to gain insights and make data-driven decisions
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Q2. How to evaluate Time series analysis
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Time series analysis can be evaluated by examining the accuracy of forecasts, the model's ability to capture trends and patterns, and the overall performance metrics.
• Evaluate forecast accuracy using metrics like Mean Absolute Error (MAE) or Root Mean Squared Error (RMSE)

• Assess the model's ability to capture trends and patterns by visualizing the data and comparing it to the model's predictions

• Analyze the overall perfor...read more
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Python and ML questions

Q1. Python ML SQL DA
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Q1. Explain the projects worked on previous companies and questions related to it
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Q2. Questions bases on time series algorithms
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Q1. SQL and tableau
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Online test on sql join sub query

Q1. Final tech round
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They gave me case study in interview based on that I had provide the solution.

Q1. They asked question regarding SQL, statistics and some project related questions
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Q1. Spark Context vs Spark Session
Ans. 
Spark Context is the entry point to any Spark functionality while Spark Session is a unified entry point for Spark 2.0+.
• Spark Context is the old entry point to Spark functionality.

• Spark Session is a unified entry point for Spark 2.0+.

• Spark Context is used to create RDDs, accumulators and broadcast variables.

• Spark Session is used to create DataFrames, execute SQL queries and read data from external sources.
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Q2. Repartitioning vs Coalesce
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Repartitioning increases partitions while Coalesce reduces partitions.
• Repartitioning shuffles data across the cluster and can be used to increase parallelism.

• Coalesce merges partitions without shuffling data and can be used to reduce overhead.

• Repartitioning is expensive and should be used sparingly.

• Coalesce is faster but may not be as effective as repartitioning in increasing parallelism.

• Both can be used to optimize da
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Q3. Sql query to find Second Highest Salary
Ans. 
Sql query to find Second Highest Salary
• Use ORDER BY and LIMIT to select the second highest salary

• Use subquery to select the maximum salary and exclude it from the result set

• Handle cases where there are ties for the highest salary
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Q4. Internal Working of Spark
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Spark is a distributed computing engine that processes large datasets in parallel across a cluster of computers.
• Spark uses a master-slave architecture with a driver program that coordinates tasks across worker nodes.

• Data is stored in Resilient Distributed Datasets (RDDs) that can be cached in memory for faster processing.

• Spark supports multiple programming languages including Java, Scala, and Python.

• Spark can be used f...read more
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Q5. What is Braodcast Join
Ans. 
Broadcast Join is a technique used in distributed computing to optimize join operations.
• Broadcast Join is used when one table is small enough to fit in memory of all nodes in a cluster.

• The smaller table is broadcasted to all nodes in the cluster, reducing network traffic.

• Broadcast Join is faster than other join techniques when used appropriately.

• Example: Joining a small reference table with a large fact table in a data
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