Senior Data Solution Architect interview practice at EPAM India
25 questions · 45 minutes · ₹25
Practice for the Senior Data Solution Architect opening at EPAM India: questions from its job description on Data Integration, MLOps, Generative AI, Data Governance, and on your CV.
Take the Senior Data Solution Architect test
What it covers
- Data Integration
- MLOps
- Generative AI
- Data Governance
- Data Modeling
- Python
- R
- Scala
- Java
- Docker
- Senior Data Solution Architect fundamentals
- Projects on your CV
Interview format
- Questions: 25 questions — 15 multiple choice, 4 predict-the-output, 4 short answer, 2 from your CV
- Time: 45 minutes, timed from the first question
- Difficulty: Advanced
- Skill area: CS fundamentals
- Price: ₹25 a test
How EPAM India interviews
Engineering interviews at EPAM India likely cover a broad range of technical skills, including system design, data engineering, and advanced programming in languages like Python and Java. Candidates may be expected to demonstrate knowledge in cloud technologies, AI, and DevOps practices, as these are key areas of focus for the company.
Frequently asked questions
- How many questions are in the Senior Data Solution Architect test?
- 25 questions (15 multiple choice, 4 predict-the-output, 4 short answer, 2 from your CV), with 45 minutes to answer them.
- What does the Senior Data Solution Architect test cover?
- Data Integration, MLOps, Generative AI, Data Governance, Data Modeling, Python, R, Scala, Java, Docker, Senior Data Solution Architect fundamentals, Projects on your CV.
- Is the Senior Data Solution Architect test free?
- It costs ₹25 a test, paid per test with no subscription. Prices in Indian rupees (INR).
- What level is the Senior Data Solution Architect test?
- Advanced, in CS fundamentals.
- How does EPAM India interview?
- Engineering interviews at EPAM India likely cover a broad range of technical skills, including system design, data engineering, and advanced programming in languages like Python and Java. Candidates may be expected to demonstrate knowledge in cloud technologies, AI, and DevOps practices, as these are key areas of focus for the company.