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Oswaal Books and Learning Private Limited Interview Questions and Answers

Updated 5 Nov 2024
Popular Designations

Q1. what is IR, and difference between dataset and linked service

Ans.

IR stands for Integration Runtime. Dataset is a representation of data, while linked service is a connection to the data source.

  • IR is a compute infrastructure used to provide data integration capabilities

  • Dataset is a structured representation of data used in data engineering tasks

  • Linked service is a connection to a data source, providing access to the data

  • IR enables data movement and transformation between different data sources

  • Dataset defines the schema and structure of the ...read more

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Q2. write code in regular expression to remove the special characters

Ans.

Use regular expression to remove special characters from a string

  • Use the regex pattern [^a-zA-Z0-9\s] to match any character that is not a letter, digit, or whitespace

  • Use the replace() function in your programming language to replace the matched special characters with an empty string

  • Example: input string 'Hello! How are you?' will become 'Hello How are you' after removing special characters

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Q3. How to dump data from csv into bq

Ans.

Use Google Cloud Storage to load CSV data into BigQuery

  • Upload the CSV file to Google Cloud Storage

  • Create a BigQuery table with the appropriate schema

  • Use the 'bq load' command to load the data from the CSV file into the BigQuery table

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Q4. Diff between rank and dense rank

Ans.

Rank assigns unique rank to each row, while dense rank assigns consecutive ranks without gaps.

  • Rank leaves gaps in rank sequence if there are ties, while dense rank does not

  • Rank function is used to assign a unique rank to each row based on a specified column

  • Dense rank function is used to assign consecutive ranks to rows without any gaps

  • Example: If there are two rows with rank 1 in a dataset, rank function will assign 1 and 2, while dense rank will assign 1 and 1

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Q5. optimization techniques in spark

Ans.

Optimization techniques in Spark

  • Partitioning data to optimize data locality

  • Caching frequently accessed data

  • Using broadcast variables for small data sets

  • Using appropriate data structures and algorithms

  • Avoiding unnecessary shuffling of data

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Q6. what is adf triggers

Ans.

ADF triggers are used in Azure Data Factory to schedule and orchestrate data pipelines.

  • ADF triggers enable the automation of data movement and data transformation activities.

  • Triggers can be scheduled to run at specific times or based on event-based triggers.

  • They can be used to start or stop pipelines, and can be configured with parameters and dependencies.

  • Examples of triggers include time-based schedules, event-based triggers like file arrival, or manual triggers.

  • Triggers can...read more

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More about working at UST

#2 Best IT/ITES Company - 2021
HQ - Aliso Viejo, California, United States (USA)
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Interview Process at Oswaal Books and Learning Private Limited

based on 3 interviews in the last 1 year
1 Interview rounds
Technical Round
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