Apache NiFi Interview Questions

Are you looking for a career as an Apache Nifi developer? Apache Nifi is a powerful and scalable data routing, transformation, and mediation software. Many organisations are looking for Apache Nifi candidates in a variety of roles in order to manage massive volumes of data. Check out the blog to get prepared for the Apache Nifi interview.

Apache NiFi is a robust, easy-to-use, dependable solution for data processing and distribution across heterogeneous platforms. Simply put, NiFi was created to automate data exchange across systems. It is based on the NSA-developed Niagara Files (NiFi) technologies, which were handed to the Apache Software Foundation after eight years.

Without any need for coding, Apache NiFi enables users to swiftly and precisely define data flows. Due to the breadth of its capabilities, numerous firms worldwide are embracing Apache NiFi, necessitating a continual demand for Apache NiFi-certified personnel. The Apache NiFi certification is critical to achieving your ideal profession since it verifies that you have acquired all of the essential abilities to execute critical tasks in the real world. However, after completing certification training, you must pass the interview round in order to obtain the job you seek.

As a result, we've compiled a list of the top 30 Apache NiFi Interview Questions, which might assist you in acing the interview.

Top 10 Frequently Asked Apache NiFi Interview Questions

  1. What is the purpose of a NiFi Processor?
  2. Describe MiNiFi
  3. What specifically is a Processor Node?
  4. What does "Write-Ahead-Log" mean in the context of FlowFileRepository?
  5. What use does FlowFileExpiration serve?
  6. What use does RouteOnAttribute serve?
  7. What does the term "Provenance Data" signify in NiFi?
  8. What is bulleting and how does it benefit NiFi?
  9. What does "deadlock in backpressure" imply?
  10. How does NiFi ensure the delivery of messages?

Apache NiFi Interview Questions For Freshers

1. What is Apache NiFi?

Apache NiFi is a free and open-source application that automates and manages data flow across systems. It is a secure and dependable data processing and distribution system that incorporates a web-based user interface for the purpose of creating, monitoring, and controlling data flows. It features a highly customizable and changeable data flow method that allows for real-time data modification.

2. What is the purpose of a NiFi Processor?

The Processor is a critical component of the NiFi since it is responsible for actually executing the FlowFile data and assists in producing, transmitting, receiving, converting, routing, dividing, integrating, and analyzing FlowFile.

3. What actually is a NiFi FlowFile?

A FlowFile is a file that contains signal, event, or user data that is pushed or generated in the NiFi. A FlowFile is mostly composed of two components. Its data and attributes. Attributes are key-value pairs that are associated with a piece of content or data.

4. Describe MiNiFi

MiNiFi is a project of NiFi that is intended to enhance the fundamental concepts of NiFi by emphasizing the gathering of data at its generation source. MiNiFi is meant to operate at the source, which is why it places a premium on minimal area and resource utilization.

5. Is it possible for a NiFi Flow file to contain complex data as well?

Yes, with NiFi, a FlowFile may include both organized (XML, JSON files) and complex (graphics) data.

Are you excited to know about Apache Airflow?

6. What specifically is a Processor Node?

A Processor Node is a shell all around the Processor that manages the processor's state. The Processor Node is responsible for maintaining the

Positioning of processors in the graph.
Processor configuration characteristics.
Scheduling the processor's states.

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7. What does the Reporting Task involve?

A Reporting Task is a NiFi expansion endpoint that is responsible for reporting and analyzing NiFi's inner statistics in order to transmit the data to other sources or to display status data straight in the NiFi UI.

8. Is the processor capable of committing or rolling back the session?

Yes, the processor is the module that may submit and reverse data via the session. When a Processor starts rolling back a session, all FlowFiles retrieved during the session are restored to their prior states. If, on the other hand, the Processor decides to submit the session, it will update the FlowFile repositories with the necessary information.

9. What does "Write-Ahead-Log" mean in the context of FlowFileRepository?

This implies that any changes made to the FlowFileRepository will be first logged and checked for consistency. Remain in the logs to avoid data loss, both before and during data processing, as well as checkpoints on a frequent basis to facilitate reversal.

10. Does the Reporting Task get access to the entire contents of the FlowFile?

No, a Reporting Task has no access to the contents of any specific FlowFile. Rather than that, a Reporting Task gets accessibility to all Provenance Events, alerts, and metrics associated with graph components, like Bits of data, read or written.

Apache NiFi Interview Questions For Experienced

11. What use does FlowFileExpiration serve?

It assists in determining when this FlowFile must be terminated and destroyed after a certain period of time. Assume you've set FlowFileExpiration to 1 hour. As soon as the FlowFile is detected in the NiFi platform, the countdown begins. Furthermore, once FlowFile reaches the connection, it will verify the age of the FlowFile; if it is older than 1 hour, the FlowFile will be ignored and destroyed.

12. What is the NiFi system's backpressure?

Occasionally, the producer system outperforms the consumer system. As a result, communications are slower. Hence, all unprocessed messages (FlowFiles) will stay in the network buffer. However, you may restrict the magnitude of the network backpressure depending on the number of FlowFiles or the quantity of the data. If it exceeds the set limit, the link will return pressure to the producing processor, causing it to stop running. As a result, no more FlowFiles are created until the backpressure is removed.

13. Is it possible to alter the settings of a processor while it is running?

No, the settings of the processor cannot be altered or modified while it is operating. You must first halt it and then allow for all FlowFile processing to complete. Then and only then may you modify the processor's settings.

14. What use does RouteOnAttribute serve?

RouteOnAttribute permits the system to make congestion control within the flow, allowing certain FlowFiles to be treated differently than others.

15. What Is The NiFi Template?

A template is a workflow that may be reused, which you may import and export across many NiFi instances. It can save a lot of time compared to generating Flow repeatedly. The template is produced in the form of an XML file.

16. What does the term "Provenance Data" signify in NiFi?

NiFi maintains a Data provenance library that contains all information about the FlowFile. As data continues to flow and is converted, redirected, divided, consolidated, and sent to various endpoints, all of this metadata is recorded in NiFi's Provenance Repository. Users can conduct a search for the processing of every single FlowFile.

17. What is a FlowFile's "lineageStartDate"?

This FlowFile property indicates the date and time the FlowFile was added or generated in the NiFi system. Even if a FlowFile is copied, combined, or divided, a child FlowFile may be generated. However, the lineageStartDate property will provide the timestamp for the ancestor FlowFile.

18. How to get data from a FlowFile's attributes?

Numerous algorithms are available, including ExtractText, and EvaluateXQuery which can help you get data from the FlowFile attribute. Furthermore, you may design your own customized microprocessor to meet the same criteria if no off-the-shelf processor is provided.

19. What occurs to the ControllerService when a DataFlow is used to generate a template?

When a template is produced via DataFlow and if it has an associated ControllerService, a new instance of the control system service will be generated throughout the import process.

20. What occurs if you save a passcode in a DataFlow and use it to generate a template?

A password is a very sensitive piece of information. As a result, when publishing the DataFlow as templates, the password is removed. Once you export the template into another NiFi system, whether the same or a different one, you must enter the password once more.

Apache NiFi  FAQs

21. What is bulleting and how does it benefit NiFi?

While you can review the archives for anything noteworthy, having notifications come up on the board is far handier. If a Process records something as a WARNING, a "Bulletin Indicator" will appear in the Processor. This indication, which resembles a sticky note, will be displayed for five minutes following the occurrence of the event. If the bulletin is part of a cluster, it will additionally specify which network device released it. Furthermore, we may alter the log frequency at which bulletins are generated

22. What is a NiFi process group?

A process group can assist you in developing a sub-data stream that users can include in your primary data flow. The destination address and the input port are used to transmit and receive information from the process group, respectively.

23. What use does a flow controller serve?

The flow controller is the project's brain that allocates threads to run modifications and maintains the scheduling for when modules obtain resources to execute. The Flow Controller functions as the engine, determining when a thread is assigned to a specific processor.

24. How Does Nifi Handle Massive Payload Volumes in a Dataflow?

DataFlow can handle massive amounts of data. As data flows via NiFi, referred to as a FlowFile, is handed around, the FlowFile's information is only accessible when necessary.

25. What is the distinction between NiFi's FlowFile and Content repositories?

The FlowFile Library is where NiFi stores information about a particular FlowFile that is currently online in the stream.

The Content Repository stores the exact bytes of a FlowFile's information.

26. What does "deadlock in backpressure" imply?

Assume you're using a processor, such as PublishJMS, to release the information to the target list. The destination queue, on the other hand, is full, and your FlowFile will be sent to the failed relationship. And when you retry the unsuccessful FlowFile, the incoming backpressure linkage becomes full, which might result in a backpressure stalemate. 

27. What is the remedy for the "back pressure deadlock"?

There are several alternatives, including

The administrator can temporarily boost the failed connection's backpressure level.
Another option to explore in this scenario is to have Reporting Tasks monitor the flow for big queues.

28. How does NiFi ensure the delivery of messages?

This is accomplished by implementing an effective permanent write-ahead logging and information repository.

29. Can you utilize the fixed Ranger setup on the HDP to work with HDF?

Yes, you may handle HDF with a single Ranger deployed on the HDP. Nevertheless, the Ranger that comes with HDP doesn't include NiFi service definition and must be installed manually.

30. Is NiFi capable of functioning as a master-slave design?

No, starting with NiFi 1.0, the 0-master principle is taken into account. Furthermore, each unit in the NiFi network is identical. The Zookeeper service manages the NiFi cluster. Apache ZooKeeper appoints a single point as the Cluster Administrator, and ZooKeeper handles redundancy seamlessly.

Course Schedule
NameDates
Apache Nifi TrainingNov 02 to Nov 17View Details
Apache Nifi TrainingNov 05 to Nov 20View Details
Apache Nifi TrainingNov 09 to Nov 24View Details
Apache Nifi TrainingNov 12 to Nov 27View Details
Last updated: 03 Apr 2023
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Anjaneyulu Naini is working as a Content contributor for Mindmajix. He has a great understanding of today’s technology and statistical analysis environment, which includes key aspects such as analysis of variance and software,. He is well aware of various technologies such as Python, Artificial Intelligence, Oracle, Business Intelligence, Altrex, etc. Connect with him on LinkedIn and Twitter.

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