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PKF Sridhar & Santhanam LLP, Chartered Accountants Interview Questions and Answers

Updated 11 Jun 2024

Q1. What is delta lake and its architecture

Ans.

Delta Lake is an open-source storage layer that brings ACID transactions to Apache Spark and big data workloads.

  • Delta Lake provides ACID transactions, scalable metadata handling, and unifies streaming and batch data processing.

  • It stores data in Parquet format and uses a transaction log to keep track of all the changes made to the data.

  • Delta Lake architecture includes a storage layer, a transaction log, and a metadata layer for managing schema evolution and data versioning.

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Q2. Difference between Blob storage vs Data Lake

Ans.

Blob storage is for unstructured data, while Data Lake is for structured and unstructured data with metadata.

  • Blob storage is optimized for storing large amounts of unstructured data like images, videos, and backups.

  • Data Lake is designed to store structured and unstructured data with additional metadata for easier organization and analysis.

  • Blob storage is typically used for simple storage needs, while Data Lake is used for more complex data processing and analytics.

  • Data Lake a...read more

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Q3. Explain mounting process in Databricks

Ans.

Mounting process in Databricks allows users to access external data sources within the Databricks environment.

  • Mounting allows users to access external data sources like Azure Blob Storage, AWS S3, etc.

  • Users can mount a storage account to a Databricks File System (DBFS) path using the Databricks UI or CLI.

  • Mounted data can be accessed like regular DBFS paths in Databricks notebooks and jobs.

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Q4. Tell me two truth facts....with explanation

Ans.

Two true facts about myself

  • I am fluent in three languages: English, Spanish, and French

  • I have traveled to over 20 countries, including Japan, Australia, and Brazil

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Q5. How to developed in financial system

Ans.

Developing a financial system requires a thorough understanding of financial processes and technologies.

  • Identify the requirements of the financial system

  • Design the system architecture and select appropriate technologies

  • Develop and test the system

  • Implement the system and provide training and support

  • Continuously monitor and improve the system

  • Ensure compliance with regulatory requirements

  • Examples of financial systems include accounting software, payment processing systems, and t...read more

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Q6. Activities in ADF

Ans.

Activities in ADF refer to the tasks or operations that can be performed in Azure Data Factory.

  • Activities can include data movement, data transformation, data processing, and data orchestration.

  • Examples of activities in ADF are Copy Data activity, Execute Pipeline activity, Lookup activity, and Web activity.

  • Activities can be chained together in pipelines to create end-to-end data workflows.

  • Each activity in ADF has properties that define its behavior and dependencies.

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