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IUakpakwu's avatar
IUakpakwu
New Member
24 days ago
Solved

Fabric Engineer

Hi all,

I have been a data analyst within the London insurance market for over a decade. I am now transitioning by learning Microsoft Fabric. I plan to sit the DP700 exam in early September. What kind of interview questions should I expect when it comes to Fabric at my stage

  • Hi IUakpakwu​,

     

    I agree that the exact questions will depend on the role and environment, but I would prepare for scenario-based questions rather than just definitions of individual Fabric features.

     

    One useful guide is the current DP-700 skills measured, which were updated for July 2026. I would be comfortable explaining things like:

    • when you would choose a Lakehouse, Warehouse or Eventhouse
    • full vs incremental loading patterns
    • when to use a pipeline, notebook, Dataflow Gen2, SQL or KQL
    • how you would orchestrate dependencies, parameters and failures
    • workspace/item/OneLake security
    • how you would troubleshoot and optimize a slow pipeline, Spark workload or query
    • how you would approach streaming data with Eventstreams/KQL

    I would also expect some SQL and possibly PySpark/KQL depending on the position. Microsoft currently includes all three in the Fabric Data Engineer role profile.

     

    Given your insurance background, I would practice taking a data problem you already know well and explaining how you would implement it end-to-end in Fabric. That lets you combine your existing domain experience with the engineering skills you are building.

     

    Good luck with DP-700 in September!

    AI-assisted drafting: AI was used to help structure and phrase this response. I reviewed and validated the technical content before posting.

8 Replies

  • Hi IUakpakwu

     

    Interview questions will very much depend on the role you are interviewing for, the company, and what their current enviornment looks like. 

     

    The general Fabric questions I would expect should all be covered in dp-700, but instead of explicitly about X feature, the interviewer will likely give a scenario and ask what your solution might be.  

  • v-abhinavmu's avatar
    v-abhinavmu
    Community Support

    Hi IUakpakwu​,

    Thank you for posting your query in the Microsoft Fabric Community Forum, and thanks ShivekMaharaj​ & tayloramy​ for sharing valuable insights.

    Could you please confirm if your query has been resolved by the provided solutions? This would be helpful for other members who may encounter similar issues.

    Thank you for being part of the Microsoft Fabric Community.

  • Hi IUakpakwu​, I assume by "interview questions" you mean job interview questions, not DP-700 exam questions. For sure, a job role and specialization would add a flavor to any interview, but, from my experience, most of real-world data engineering job interviews would likely include a few categories of questions that could show your real level of proficiency with Microsoft Fabric:

    1. A hands-on practical activity: I've seen questions ranging from identifying a reason for a pipeline or a Notebook failure, to exploring data using Spark, T-SQL or KQL, to creating a factory pipeline or a dataflow, to configuring security access. Shows your analytical engineering skills using Fabric tools.
    2. A question requiring to explain a difference between specific things in Fabric, like, Lakehouse and Warehouse, tables and files, shortcuts and mirrors, etc. that may achieve similar results but with different implications. Shows your level of understanding the Fabric platform and toolset and how you'd make engineering decisions.
    3. A hands-on in Fabric UI: navigate between different areas quickly when asked to find something specific. Shows how comfortable and fast you are in the Fabric environment and how well you are familiar with Fabric capabilities.

    While preparing to your DP-700 is important, it might not be as helpful for a job interview as a hands-on practical experience and documentation knowledge. Don't skip any hands-on labs and spend as much time working with Fabric hands-on as possible.

  • IUakpakwu​ 

    Interview depends on the interviewer domain knowledge, however it is also depends on your knowledge for the post you are applying for, so i would suggest before the interview properly check the job JD'S and prepare accordingly, thanks 

    If this hepls mark kudos | help others

  • ShivekMaharaj's avatar
    ShivekMaharaj
    Power Participant

    Hi IUakpakwu​,

     

    I agree that the exact questions will depend on the role and environment, but I would prepare for scenario-based questions rather than just definitions of individual Fabric features.

     

    One useful guide is the current DP-700 skills measured, which were updated for July 2026. I would be comfortable explaining things like:

    • when you would choose a Lakehouse, Warehouse or Eventhouse
    • full vs incremental loading patterns
    • when to use a pipeline, notebook, Dataflow Gen2, SQL or KQL
    • how you would orchestrate dependencies, parameters and failures
    • workspace/item/OneLake security
    • how you would troubleshoot and optimize a slow pipeline, Spark workload or query
    • how you would approach streaming data with Eventstreams/KQL

    I would also expect some SQL and possibly PySpark/KQL depending on the position. Microsoft currently includes all three in the Fabric Data Engineer role profile.

     

    Given your insurance background, I would practice taking a data problem you already know well and explaining how you would implement it end-to-end in Fabric. That lets you combine your existing domain experience with the engineering skills you are building.

     

    Good luck with DP-700 in September!

    AI-assisted drafting: AI was used to help structure and phrase this response. I reviewed and validated the technical content before posting.

  • jainpraful's avatar
    jainpraful
    Regular Visitor

    Hi IUakpakwu​,

    As you mentioned you're a data analyst, I'm assuming you're analytically excellent, but the DP-700 is core Data Engineering-centric (Fabric). So I would recommend:

    1. Firstly, you need to transition your analytical skills toward MS Fabric. Try Direct Lake mode to build reports.
    2. Then understand the capabilities of Fabric and do some research on it.
    3. Now you're ready to learn data engineering fundamentals: lakehouse architecture, warehouses, SQL endpoints, Pipelines, Semantic models, Notebooks, Dataflows Gen2, etc.

    Your focus should not be on what types of questions can be asked; instead, focus on how much you know about Fabric and its features. Then only will you be able to answer architectural questions correctly.