Here are 25 Apache Zeppelin interview questions along with their answers:

1. What is Apache Zeppelin?

Apache Zeppelin is an open-source web-based notebook for data analytics and visualization. It provides an interactive environment for data exploration, collaboration, and sharing.

2. What are the key features of Apache Zeppelin?

Some key features of Apache Zeppelin include:

Support for multiple programming languages (such as Python, R, SQL, etc.)
Interactive data exploration and visualization
Collaboration and notebook sharing
Integration with popular big data frameworks (such as Apache Spark, Hadoop, etc.)

3. How is Apache Zeppelin different from Jupyter Notebook?

While both Apache Zeppelin and Jupyter Notebook are interactive data science notebooks, there are some differences between them. One major difference is that Zeppelin supports multiple programming languages within a single notebook, whereas Jupyter Notebook is primarily focused on Python.

4. What are the different interpreters supported by Apache Zeppelin?

Apache Zeppelin supports a wide range of interpreters, including Python, R, SQL, Scala, Spark, and many more. Each interpreter allows you to execute code in the respective language directly within the Zeppelin notebook.

5. How can you create a new notebook in Apache Zeppelin?

To create a new notebook in Apache Zeppelin, you can click on the “Create new note” button on the Zeppelin interface. This will create a new notebook with an empty paragraph where you can start writing code.

6. What is a paragraph in Apache Zeppelin?

A paragraph is a code cell within an Apache Zeppelin notebook. Each paragraph can contain code written in a specific programming language and can be executed independently.

7. How can you execute a paragraph in Apache Zeppelin?

To execute a paragraph in Apache Zeppelin, you can click on the “Play” button associated with the paragraph. Alternatively, you can use the keyboard shortcut Shift + Enter.

8. Can you share Apache Zeppelin notebooks with others?

Yes, Apache Zeppelin allows you to share notebooks with others. You can export a notebook as a JSON file and share it with colleagues or upload it to the Zeppelin server for others to access.

9. How can you connect Apache Zeppelin to Apache Spark?

To connect Apache Zeppelin to Apache Spark, you need to configure the Spark interpreter in Zeppelin. You’ll need to specify the Spark master URL, Spark home directory, and other relevant configurations.

10. What is the purpose of the %spark.dep interpreter in Zeppelin?

The %spark.dep interpreter in Zeppelin allows you to manage Spark dependencies. You can use it to add external libraries and dependencies to your Spark application.

11. Can you schedule and run Apache Zeppelin notebooks automatically?

Yes, Apache Zeppelin provides a built-in scheduler called the “Cron Scheduler” that allows you to schedule and run notebooks automatically at specified intervals.

12. How can you access Zeppelin notebooks programmatically?

Zeppelin provides a REST API that allows you to interact with Zeppelin notebooks programmatically. You can use this API to create, update, delete, and execute notebooks.

13. What is the purpose of the Zeppelin Notebook Repository?

The Zeppelin Notebook Repository is a centralized storage system provided by Zeppelin where you can save and organize your notebooks. It allows you to easily access and manage your notebooks.

14. Can you use Zeppelin for streaming data processing?

Yes, Zeppelin supports streaming data processing through its integration with Apache Spark Streaming. You can write code in Zeppelin to process real-time streaming data.

15. How can you import data into Zeppelin for analysis?

Zeppelin supports various methods for importing data into notebooks. You can load data from files, databases, or external APIs using the appropriate interpreters, such as %jdbc for database connectivity.

16. explain the Apache Zeppelin Features.

1. Interactive Interface
Apache Zeppelin has AN interactive interface that enables you to instantly see the results of your analytics and have an instantaneous reference to your creation:

• Browser Notebooks
• Create notebooks that run in your browser (both on your machine and remotely) and experiment with differing types of charts to explore your information sets:

• Integrations
• Integrate with various open supplies, massive information tools like Apache comes Spark, Flink, Hive, Ignite, Lens, and Tajo.

• Dynamic Forms
• Dynamically produce input forms right in your notebook.

• Collaboration & Sharing
• A diverse and spirited developer community provides you access to new information supplies that area unit being perpetually additional and distributed through their open-source Apache two.0 license.

• Interpreter
• Apache Zeppelin interpreter idea permits any language/data-processing-backend to be obstructed into Zeppelin. Currently, Apache Zeppelin supports several interpreters like Apache Spark, Python, JDBC, Markdown, and Shell.

17. How to Add a MySQL Interpreter in Zeppelin?

In the Apache Zeppelin platform, move to the computer menu within the top-right and click on Interpreter:

Here’s wherever you’ll notice a listing of all interpreters. We’d like to form a brand new one for MySQL, therefore click on the produce button within the higher right-hand corner:

Enter a recognizable name for the interpreter (i.e. MySQL) and select cluster as JDBC:

Keep all the default choices, however, enter the specified details and make certain that an association to your MySQL server is established:

We additionally ought to add a custom whole thing to the MySQL connective JAR, therefore, Zeppelin is aware of wherever to execute it from. Transfer the connective, place it within the interpreter/JDBC folder, and so offer the precise path to the artifact:
And that’s it! To check our interpreter, we’d like to form a brand new note. But first, let’s originate our MongoDB interpreter, as well.
Go back to your Interpreter page and click on the produce button. We’re reaching to use this open supply MongoDB interpreter; therefore you will next transfer the .zip file and rename it to .jar.
After that, move to interpreters/, produce a MongoDB/ folder, and paste the .jar into the folder.
You’ll currently have a brand new Interpreter cluster known as MongoDB. move to your Interpreter page, enter a friendly name like MongoDB, and so select MongoDB underneath the Interpreter cluster dropdown. Now, let’s enter the small print of our newly created ScaleGrid MongoDB cluster in Properties, found within the Overview/Machines section of the Cluster Details page.

18. How to create a Zeppelin Note?

To run queries that will facilitate visualize our information, we’d like to form notes. From the Zeppelin header pane, click Notebook, and so produce a brand new note:

Make sure the notebook header shows a connected standing as denoted by an inexperienced dot within the top-right corner:

When making a note, you will be conferred with a dialog to enter a lot of info. Select the default interpreter as our newly created MySQL and click on Produce Note.

19. How to Run Queries on the Zeppelin Note?

Before we are able to run any queries, we have a tendency to additionally ought to mention the kind of interpreter we’ll be exploiting for our note. We are able to try this by beginning our note with %mysql. This may tell Zeppelin to expect MySQL queries in this note. And now, we’re able to question our info. For the aim of this instance, I am going to use my WordPress installation that contains a typical wp_options table to question and visualize its information.

It works! You’ll currently click on the varied charts to check the information in numerous graph formats. Similarly, for MongoDB, make certain you’ve got information within the MongoDB cluster. You’ll add some by reaching the Admin tab and running Mongolian monetary unit queries.

20. What is a Zeppelin interpreter?

Zeppelin Interpreter is the plug-in that changes Zeppelin users to use a particular language/data-processing backend. As an example to use scala code in Zeppelin, you would like a spark interpreter.

When you click on the +Create button within the interpreter page the interpreter drop-down list box can gift all the out there interpreters on your server.

21. What do you like best about Apache Zeppelin?

Zeppelin provides a unified notebook to collaborate data science/data analysis methods and techniques. It powers visualization to big data analytics, especially Apache Spark. On the team level, each team member collaborates with his/her analytics in one shared workspace. On the individual level, Zeppelin utilizes multiple data analytics technologies in one notebook! For instance, one paragraph could be Scala-Spark code that processes the data in a specific way, which can be visualized in another paragraph using R.

22. What do you dislike about Apache Zeppelin?

Zeppelin has some UI bugs. For example, some of the graphs appear and disappear on a random basis while loading very large data or many users are accessing the same notebook at the same time. Also, sometimes, adding a new paragraph does not work immediately. The browser should be refreshed to find the newly added paragraphs in the notebook.

23. What problems is Apache Zeppelin solving and how is that benefiting you?

It communicates data analytics in a very interactive way to business users. Also, it makes the collaboration between the team members easier. It saves a lot of time compared with other notebook software, where each team member should push the notebook to source control (e.g. GIT).

24. How can you import data into Zeppelin for analysis?

Zeppelin supports various methods for importing data into notebooks. You can load data from files, databases, or external APIs using the appropriate interpreters, such as %jdbc for database connectivity.

25. What are some key Apache server metrics to monitor?

As many companies rely on their websites to increase profits, attract customers, and represent the company’s brand, a web administrator’s ability to keep the site running smoothly can significantly impact the business. An interviewer might ask this question to assess whether you understand the job duties of a web administrator or other IT employee. When you answer this question, provide several examples of metrics and explain why they matter.