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I was interviewed in Aug 2024.
SQL query is a command used to retrieve, insert, update, or delete data from a database.
SQL query is written in Structured Query Language.
It can be used to retrieve data using SELECT statement.
It can also be used to insert data using INSERT statement.
UPDATE statement is used to modify existing data.
DELETE statement is used to remove data from a table.
Primary key is a unique identifier for each record in a database table.
Primary key ensures each record in a table is unique
It can be a single column or a combination of columns
Primary key values cannot be null
Example: EmployeeID in an Employee table
I applied via Naukri.com and was interviewed in Feb 2024. There were 2 interview rounds.
Creating a dataframe in adb using struct type
Use the 'CREATE TABLE' statement to define the schema of the dataframe
Define the struct type using 'STRUCT' keyword
Insert data into the dataframe using 'INSERT INTO' statement
Code to find max and second highest salary department wise
Iterate through the list of employees and store max and second highest salary for each department
Use a hashmap to store department wise salaries
Sort the salaries in descending order to find max and second highest
You can call a variable from one notebook to another in adb by using the %run magic command.
Use the %run magic command followed by the path to the notebook containing the variable you want to access.
Make sure the notebook containing the variable is in the same directory or provide the full path.
Once you run the %run command, the variables from the other notebook will be available in the current notebook.
Incremental load in ADF is achieved by using watermark columns to track the last loaded data and only loading new or updated records.
Use watermark columns to track the last loaded data
Compare the watermark column value with the source data to identify new or updated records
Use a filter condition in the source query to only select records with a timestamp greater than the watermark value
Update the watermark column value
I applied via Naukri.com and was interviewed before Jan 2021. There were 3 interview rounds.
I applied via Newspaper Ad and was interviewed in Aug 2023. There were 2 interview rounds.
I applied via LinkedIn and was interviewed in Feb 2024. There were 2 interview rounds.
Types of Load Tests include Stress Testing, Spike Testing, Endurance Testing, and Volume Testing.
Stress Testing: Evaluates system behavior under extreme conditions to determine breaking points.
Spike Testing: Tests system response to sudden spikes in load to ensure stability.
Endurance Testing: Checks system performance over an extended period to identify any issues related to prolonged use.
Volume Testing: Assesses syste...
Failover testing is a type of testing that verifies a system's ability to seamlessly switch to a backup system in case of failure.
Failover testing ensures that a system can switch to a backup system without any downtime or data loss.
It involves intentionally causing a failure in the primary system to see if the backup system can take over successfully.
Common examples include testing a website's ability to switch to a b...
Little's Law can be used to calculate the pacing for a given number of users and transactions per hour.
Little's Law states that the average number of users in a system (L) is equal to the average arrival rate (λ) multiplied by the average time a user spends in the system (W). Mathematically, L = λW.
To calculate pacing, we need to rearrange the formula to solve for W: W = L / λ.
In this case, we have 200 users and 20,000...
I applied via Naukri.com and was interviewed before Jan 2021. There were 5 interview rounds.
I applied via Recruitment Consultant and was interviewed before Dec 2020. There was 1 interview round.
Cardinality in data modelling refers to the relationship between two entities in a database.
It defines how many instances of an entity relate to instances of another entity.
Cardinality can be one-to-one, one-to-many, many-to-one, or many-to-many.
For example, a customer can have one or many orders, but an order can only belong to one customer.
Cardinality is important in designing database relationships and ensuring data
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