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Ananta Resource Management Interview Questions and Answers

Updated 26 Apr 2024
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Q1. How will you create a end to end pipelines in Data Factory if my source and target are SQL and ASQL respectively?

Ans.

Create end to end pipelines in Data Factory with SQL and ASQL as source and target respectively.

  • Use Copy Data activity to move data from SQL source to ASQL target

  • Define linked services for SQL and ASQL in Data Factory

  • Create datasets for SQL and ASQL tables

  • Map columns between source and target datasets

  • Configure data flow activities for any transformations needed

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Q2. How Node.js works under the hood?

Ans.

Node.js is a JavaScript runtime built on Chrome's V8 JavaScript engine.

  • Node.js uses an event-driven, non-blocking I/O model.

  • It has a single-threaded event loop that handles all I/O operations.

  • Node.js modules are cached to improve performance.

  • It supports both synchronous and asynchronous programming.

  • Node.js has a built-in HTTP server module for creating web servers.

  • It can be used for building scalable network applications.

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Q3. What are python libraries used as a data engineer?

Ans.

Python libraries commonly used by data engineers include Pandas, NumPy, Matplotlib, and Scikit-learn.

  • Pandas: Used for data manipulation and analysis.

  • NumPy: Provides support for large, multi-dimensional arrays and matrices.

  • Matplotlib: Used for creating visualizations and plots.

  • Scikit-learn: Offers machine learning algorithms and tools for data analysis.

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Q4. What is Delta Lake and its benefits

Ans.

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

  • Provides ACID transactions for big data workloads

  • Ensures data reliability and quality by enabling schema enforcement and data versioning

  • Supports batch and streaming data processing

  • Improves data quality and reliability by enabling schema enforcement and data versioning

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Q5. Worker threads vs child process?

Ans.

Worker threads are lightweight and share memory, while child processes are heavier and have separate memory spaces.

  • Worker threads are useful for tasks that require parallel processing and sharing of data.

  • Child processes are useful for tasks that require isolation and fault tolerance.

  • Worker threads are faster to create and destroy than child processes.

  • Examples of worker thread libraries include pthreads and Java's Executor framework.

  • Examples of child process libraries include ...read more

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Q6. Call va bind vs apply?

Ans.

Call, apply and bind are methods used to set the value of 'this' in a function.

  • Call and apply are used to invoke a function with a specific 'this' value and arguments passed as an array or list respectively.

  • Bind is used to create a new function with a specific 'this' value and arguments passed as an array or list.

  • Call and apply are similar, but apply is used when the number of arguments is not known beforehand.

  • Bind returns a new function that can be called later with the spec...read more

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Q7. What is PySpark

Ans.

PySpark is a Python API for Apache Spark, a powerful open-source distributed computing system.

  • PySpark allows users to write Spark applications using Python programming language.

  • It provides high-level APIs in Python for Spark's functionality, making it easier to work with large datasets.

  • PySpark can be used for data processing, machine learning, graph processing, and more.

  • Example: PySpark can be used to perform data analysis on large datasets stored in distributed systems like ...read more

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