Wavicle Data Solutions Interview Questions and Answers

Q1. Basic questions related to oops
Add your answer
Q2. Architecture of Spark and it's optimization techniques
Ans. 
Apache Spark is a distributed computing framework optimized for big data processing with various optimization techniques.
• Spark's architecture consists of a driver program, cluster manager, and worker nodes.

• The driver program coordinates the execution of tasks and maintains the SparkContext.

• Cluster managers like YARN or Mesos allocate resources across the cluster.

• Worker nodes execute tasks and store data in memory for f...read more
Answered by AI
Add your answer

Q1. Components of Databricks
Ans. 
Databricks is a unified data analytics platform that includes components like Databricks Workspace, Databricks Runtime, and Databricks Delta.
• Databricks Workspace: Collaborative environment for data science and engineering teams.

• Databricks Runtime: Optimized Apache Spark cluster for data processing.

• Databricks Delta: Unified data management system for data lakes.
Answered by AI
Add your answer
Q2. How to read a json file
Ans. 
To read a JSON file, use a programming language's built-in functions or libraries to parse the file and extract the data.
• Use a programming language like Python, Java, or JavaScript to read the JSON file.

• Import libraries like json in Python or json-simple in Java to parse the JSON data.

• Use functions like json.load() in Python to load the JSON file and convert it into a dictionary or object.

• Access the data in the JSON fi...read more
Answered by AI
Add your answer
Q3. Second highest salary SQL
Ans. 
To find the second highest salary in SQL, use the MAX function with a subquery or the LIMIT clause.
• Use the MAX function with a subquery to find the highest salary first, then use a WHERE clause to exclude it and find the second highest salary.

• Alternatively, use the LIMIT clause to select the second highest salary directly.

• Make sure to handle cases where there may be ties for the highest salary.
Answered by AI
Add your answer
Q4. How to configure the spark while creating the cluster
Ans. 
Spark cluster configuration involves setting up memory, cores, and other parameters for optimal performance.
• Specify the number of executors and executor memory

• Set the number of cores per executor

• Adjust the driver memory based on the application requirements

• Configure shuffle partitions for efficient data processing

• Enable dynamic allocation for better resource utilization
Answered by AI
Add your answer

Q1. NLP based question
Add your answer

Q1. Fresher or experienced
Add your answer

Medium level of coding questions.

Q1. About azure data factory
Add your answer
Q2. How to copy multiple csv into single file
Ans. 
Use a command line tool like cat to concatenate multiple CSV files into a single file
• Use the cat command in the terminal to concatenate multiple CSV files into a single file

• Navigate to the directory where the CSV files are located

• Run the command 'cat file1.csv file2.csv > combined.csv' to merge file1.csv and file2.csv into a new file named combined.csv
Answered by AI
Add your answer

Q1. What is hdinsights in azure data factory
Ans. 
HDInsight is a cloud-based service in Azure that makes it easy to process big data using Apache Hadoop, Spark, and other tools.
• HDInsight is a fully managed cloud service that makes it easy to process big data using open-source frameworks like Apache Hadoop, Spark, and more.

• It allows you to create, scale, and monitor Hadoop clusters in Azure.

• HDInsight integrates with Azure Data Factory to provide data orchestration and ...read more
Answered by AI
Add your answer
Q2. How to perform data copy in azure
Ans. 
Data copy in Azure can be performed using Azure Data Factory or Azure Storage Explorer.
• Use Azure Data Factory to create data pipelines for copying data between various sources and destinations.

• Use Azure Storage Explorer to manually copy data between Azure storage accounts.

• Utilize Azure Blob Storage for storing the data to be copied.
Answered by AI
Add your answer

Q1. Expectations in the company
Ans. 
I expect a collaborative environment that fosters growth, innovation, and the opportunity to work on impactful data projects.
• Opportunities for professional development, such as workshops and training sessions.

• A culture of collaboration where team members share knowledge and support each other.

• Engagement in challenging projects that allow me to apply my skills and learn new technologies, like cloud data solutions.

• Clear ...read more
Answered by AI
Add your answer
Q2. Ctc and relevant stuff
Add your answer