Artech Infosystems Senior Data Management Analyst Interview Questions and Answers

Q1. Azure Scenario based questions
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Q2. Pyspark Coding based questions
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Q1. ADF, Databricks related question
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Q2. Spark Performance problem and scenarios
Ans. 
Spark performance problems can arise due to inefficient code, data skew, resource constraints, and improper configuration.
• Inefficient code can lead to slow performance, such as using collect() on large datasets.

• Data skew can cause uneven distribution of data across partitions, impacting processing time.

• Resource constraints like insufficient memory or CPU can result in slow Spark jobs.

• Improper configuration settings, su...read more
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Q1. Wxaplinnyour project
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Q2. How would you build a pipeline to connect http source and bring data in adls
Ans. 
Build a pipeline to connect http source and bring data in adls
• Set up a data ingestion tool like Apache NiFi or Azure Data Factory to pull data from the http source

• Transform the data as needed using tools like Apache Spark or Azure Databricks

• Store the data in Azure Data Lake Storage (ADLS) for further processing and analysis
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Q3. Dimension and fact tabel difference
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Dimension tables store descriptive attributes while fact tables store quantitative data.
• Dimension tables contain attributes that describe the business entities, such as customer, product, or time.

• Fact tables contain quantitative data or metrics that are typically numeric and additive, such as sales revenue or quantity sold.

• Dimension tables are denormalized and have a one-to-many relationship with fact tables.

• Fact table...read more
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Q4. Write slq query to get employee having 2manager
Ans. 
Use a self join to find employees with 2 managers in SQL query.
• Use a self join on the employee table to join the table with itself.

• Count the number of distinct managers for each employee.

• Filter the results to only include employees with 2 managers.
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Q5. Get second highest salary usingSQL
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It was pair programming round where we need to attempt a couple of Spark Scenario along with the Interviewer. You will have a boiler plate code with some functionalities to be filled up. You will be assessed on writing clean and extensible code and test cases.

Q1. Questions will be based on the Project where they try to assess the depth of understading you have on your project, data quality checks, handling failure scenarios, reasoning behind choice of tech stack
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Q1. Power BI Difference between ALL() and ALLSELECTED()
Ans. 
ALL() ignores all filters in the query context, while ALLSELECTED() ignores only filters on columns in the visual.
• ALL() removes all filters from the specified column or table.

• ALLSELECTED() removes filters from the specified column or table, but keeps filters on other columns in the visual.

• Example: ALL('Table') would remove all filters on the 'Table' in the query context.

• Example: ALLSELECTED('Column') would remove filte...read more
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Q2. Excel Difference between COUNT() and COUNTA()
Ans. 
COUNT() counts only numeric values, while COUNTA() counts all non-empty cells.
• COUNT() counts only cells with numerical values.

• COUNTA() counts all non-empty cells, including text and errors.

• Example: COUNT(A1:A5) will count only cells with numbers, while COUNTA(A1:A5) will count all non-empty cells.
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Q1. Resume based questions like explain the projects that you have done.
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Q2. Sample dataset questions
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Q1. Walk through your project?
Ans. 
Developed a predictive model to forecast sales based on historical data
• Collected and cleaned historical sales data

• Performed exploratory data analysis to identify trends and patterns

• Built and trained a machine learning model using regression techniques

• Evaluated model performance using metrics like RMSE and MAE
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Q2. Behavioral questions?
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Q1. Questions based on Advanced Excel like Vlookup, Index match, sumifs, pivot tables
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Q2. Behavioral questions
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Q1. Salary negotiation
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Q1. Cache vs persist
Ans. 
Cache is used for temporary storage of data in memory, while persist is used for saving data to disk for long-term storage.
• Cache is typically faster as it stores data in memory for quick access.

• Persist saves data to disk for durability and long-term storage.

• Cache is often used for temporary data that can be recomputed if lost, while persist is used for important data that needs to be retained.

• Examples: Using cache for ...read more
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Q2. Broadcast join and other optimization techniques
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Q1. Sql window function
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Q2. Spark architecture, dataframe vs rdd
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Q3. Python reverse sentence
Ans. 
Reverse a sentence using Python
• Split the sentence into words using split() method

• Reverse the list of words using list slicing

• Join the reversed list of words back into a sentence using join() method
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Q4. Join based on nulls in sql
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English, quant, logical reasoning

Q1. Wacc, coc, beta
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Q2. Coc, equity, capm
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Basic Apititude Questions

Q1. Difference between WHERE and HAVING??
Ans. 
WHERE is used to filter rows before grouping, HAVING is used to filter groups after grouping.
• WHERE is used with SELECT statement to filter rows based on a condition

• HAVING is used with GROUP BY statement to filter groups based on a condition

• WHERE is applied before data is grouped, HAVING is applied after data is grouped

• Example: SELECT * FROM table WHERE column = 'value'

• Example: SELECT column, COUNT(*) FROM table GROUP B
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Q2. Where- Row Level Filters Having-Aggregate Filters
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Row level filters are applied before aggregations, while aggregate filters are applied after aggregations.
• Row level filters are used to filter individual rows of data before any aggregations are performed.

• Aggregate filters are used to filter the aggregated results after the data has been grouped and summarized.

• Row level filters are typically applied using WHERE clause in SQL, while aggregate filters are applied using H...read more
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Q1. Why do you wanna join Uber?
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Q2. Best Company Ever
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