Shalby Hospitals Data Analyst Interview Questions and Answers

Q1. Adf triggers and integration run time
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Q2. How to copy data in add pipeline
Ans. 
To copy data in add pipeline, use a copy activity in Azure Data Factory.
• Use Azure Data Factory to create a copy activity in a pipeline.

• Specify the source dataset and sink dataset for the copy activity.

• Map the source and sink columns to ensure data is copied correctly.

• Run the pipeline to copy the data from source to sink.
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Power bi assignment was given to solve

Q1. Optimization techniques in sql
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Optimization techniques in SQL involve using indexes, query optimization, and proper database design.
• Use indexes on columns frequently used in WHERE clauses to speed up query performance

• Avoid using SELECT * and instead specify only the columns needed in the query

• Optimize queries by using appropriate join types and conditions

• Normalize database tables to reduce redundancy and improve query efficiency
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Q2. Sub queries in sql
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Sub queries in SQL are queries nested within another query to retrieve data based on the result of the outer query.
• Sub queries can be used in SELECT, INSERT, UPDATE, and DELETE statements.

• They can be used to filter results, retrieve data from multiple tables, or perform calculations.

• Example: SELECT * FROM table1 WHERE column1 = (SELECT column2 FROM table2 WHERE condition);
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Q3. Types of Join in sql
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Types of joins in SQL include inner join, left join, right join, and full outer join.
• Inner join: Returns rows when there is a match in both tables

• Left join: Returns all rows from the left table and the matched rows from the right table

• Right join: Returns all rows from the right table and the matched rows from the left table

• Full outer join: Returns all rows when there is a match in either table
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Q4. Time intelligence functions in power bi
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Time intelligence functions in Power BI are used to analyze and compare data based on time periods.
• Time intelligence functions help in calculating year-to-date, month-to-date, and other time-based calculations.

• Functions like TOTALYTD, SAMEPERIODLASTYEAR, and PARALLELPERIOD are commonly used for time intelligence in Power BI.

• These functions allow for easy comparison of data across different time periods and help in tren
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Q5. Logical questions in aptitude
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Q6. Row level security in power bi
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Row level security in Power BI allows users to restrict access to specific rows of data based on their role or criteria.
• Row level security can be implemented by creating roles in Power BI and defining rules to filter data based on user roles.

• Users can be assigned to specific roles which determine the data they have access to.

• Row level security helps in ensuring data privacy and compliance with regulations.

• For example, ...read more
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Q1. In depth project based qiestions
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Related to data entry operator with support

Q1. Which do you do type our work with sincerity
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Q2. I do my happyness playfulness
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There were 2 SQL queries based on rank function and count aggregation. 1 python program based on array.

Q1. 2 sql questions. Was asked which technology I worked on- aws redshift.
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Q2. Architecture of redshift. keys in redshift.
Ans. 
Redshift is a cloud-based data warehousing solution by AWS. It uses columnar storage and massively parallel processing.
• Redshift is based on PostgreSQL and uses SQL for querying data.

• It uses columnar storage which is optimized for analytical queries.

• Redshift is a massively parallel processing (MPP) system, which means it can distribute queries across multiple nodes for faster processing.

• It uses key-based sharding to dis...read more
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Q3. 1 python program on sliding window technique .
Ans. 
Sliding window technique is used to solve problems where we need to find a substring of a certain length in a larger string.
• Define the window size and slide it over the string

• Use two pointers to keep track of the start and end of the window

• Examples: Maximum sum subarray of size K, Longest substring with K distinct characters
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Q1. 3 sql queries. architecture for a data pipeline to display hour per activity in last 24 hra on a smartwatch .
Ans. 
Design a data pipeline to display hourly activity on a smartwatch for the last 24 hours using SQL queries.
• Create a table to store activity data with columns for timestamp and activity type.

• Use a SQL query to aggregate activity data by hour for the last 24 hours.

• Display the results on the smartwatch using a suitable visualization.
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Aptitude test involving coding

Q1. Questions on Data science related
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Q1. Basic details round
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For campus placement it will be a mix of logical reasoning, english proficiency , mathematical abilty etc

Q1. Checks our subject matter expertise
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Q1. Manager round(for freshers)
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