data architect interview questions

Technical Data Architect Interview Questions
  • A lot of companies use data from both internal and external sources. …
  • Have you worked with open source technology? …
  • State and describe the different types of SQL joins. …
  • What is a primary key and a foreign key? …
  • How many types of data structures does R have?

40 Real Data Architect Interview Questions & Answers – Part I

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  • What is your preferred database system, and what do you believe it has to offer over others? See answer
  • Backgrounds in accounting and business are also extremely valuable to better integrate data architecture in specialized fields. Do you have any elective experience that you believe gives you an edge over other candidates? See answer
  • Which software design patterns have you worked with, and which ones do you prefer to use? See answer
  • Can you define virtual warehousing and describe its importance in any business environment? See answer
  • What are some of the most difficult problems you have faced as a data architect, and how were you able to deal with them? See answer
  • The security of our data is of utmost importance. How can you ensure security in your work? See answer
  • Do you hold any relevant data architecture certifications or licenses?
  • Describe your process if we were to ask you to evaluate and update our data architecture.
  • Are you a member of any professional data architecture organizations?
  • How do you stay aware of changes and updates in the field of data architecture?
  • Explain how you would go about integrating internal and external data sources into a cohesive system.
  • Are you comfortable working with open source technology?
  • What are SQL joins? Why are they important for data architects?
  • Explain when you might want to use a cluster analysis.
  • Tell us how you use integrity restraints.
  • Are you comfortable working through challenging technical problems under a time constraint?
  • What was a project you worked on that you’re extremely proud of?
  • Do you enjoy working on a team, or do you prefer to work on your own?
  • 5. What is cluster analysis? What is the purpose of cluster analysis?

    Cluster analysis is defined as a process where an object is defined without giving any label to it. It uses statistical data analysis techniques and processes the data mining job. Using cluster analysis, an iterative process of knowledge discovery is processed in the form of trails.

    The purpose of cluster analysis:

  • It is scalable
  • It can deal with a different set of attributes
  • High dimensionality
  • Interpretability
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    14. Explain the different data models that are available in detail?

    There are three different kinds of data models that are available and they are as follows:

    Conceptual data model:

    As the name itself implies that this data model depicts the high-level design of the available physical data.

    Logical data model:

    Within the logical model, the entity names, entity relationships, attributes, primary keys, and foreign keys will show up.

    Physical data model:

    Based on this data model, the view will give out more information and showcases how the model is implemented in the database. All the primary keys, foreign keys, table names, and column names will be showing up.

    FAQ

    How do I prepare for a data architecture interview?

    Tips to prepare for your data architecture interview

    Review your experiences and list out previous tasks you performed to use as examples in your interview answers. Study common data architecture terms and concepts so that you will be ready for any technical questions an interviewer asks.

    What does a data architect need to know?

    Key skills for data architects
    • Applied mathematics and statistics.
    • Data visualization, data migration and data modeling.
    • Relational database management systems.
    • DBMS software, including SQL Server.
    • Database and cloud computing design, architectures and data lakes.
    • Hadoop technologies like Pig, Hive and MapReduce.

    What is a data architect doing?

    Skills Needed to Become a Data Architect

    Applied math and statistics. Data visualization and data migration. RDMSs (relational database management systems) or foundational database skills. Database management system software, especially Microsoft SQL Server.

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