25Hitachi Vantara Interview Questions & Answers
1.How do you define success?
2.Your customer wants you to explain the benefits of the Big Data model you developed, how do you communicate the insights they can use for their business?
3.Big Data can be an efficient tool to monitor and grow a business, but can have challenges if not properly implemented. What challenges have you encountered while working with big data?
4.According to the American National Standards Institute (ANSI) and Telecommunications Industry Association (TIA), how many tiers of data centers are there?
5.As I understand it, the network is the most vulnerable part of a company's IT infrastructure. What is your opinion of this and how would you define the threat and risk to a company in terms of network security?
6.Explain what the difference is between Data Mining and Data Analytics, and tell me how you have used both in your recent projects?
7.How do you prevent data leakage?
8.How would you convince a company that is still undecided about whether or not they should continue managing their own data center or move to a hosted cloud?
9.What are the benefits of leasing a private data center vs. building one from scratch?
10.Tell me about a time that you were assigned to manage a data analytics project. Walk me through the step-by-step process that you used to kick-off this project?
11.Tell me about your greatest work related accomplishment.
12.What is a false positive and false negative alert in the case of Intrusion Detection Systems?
13.Give me your opinion on Blockchain technology, and how do you think it will revolutionize cyber security?
14.Could you name a few data cleansing best practices that you follow, and how this has helped you become a better Data Consultant?
15.When designing a machine learning model, what in your opinion is more important, model performance or model accuracy, and why?
16.Although you are not an experienced network administrator, you should be fluent in the terminology used in our industry. Can you explain to me the difference between symmetric and asymmetric encryption and the benefits of each one?
17.When dealing with data, in your opinion, is it better to have too many false positives, or too many false negatives? Please explain.
18.How would you explain SSL Encryption to someone who does not have a background in tech?
19.If a client is considering moving from an internal data center environment to our platform. What are the key issues you would recommend them addressing before making this move?
20.Can you describe the difference between a Black Hat, White Hat and Grey Hat hacker?
21.What is your knowledge of imputation? Would you kindly list different types of imputation techniques, and which method you find to be most favorable for your environment?
22.Explain to me the concept of hyper-converged infrastructure.
23.There are different levels of data classification, how are they structured, and why are they required?
24.How will you detect an incident or data breach, and what steps do you take to prevent it from happening?
25.What are your salary expectations?