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IMG Worlds of Adventure Waitress Interview Questions and Answers
IMG Worlds of Adventure Waitress Interview Experiences
1 interview found
(2 Questions)
- Q1. Why should we hire you?
- Q2. What makes a good server
- Ans.
A good server is attentive, friendly, efficient, and knowledgeable about the menu.
Attentive to customers' needs and requests
Friendly and personable, creating a positive dining experience
Efficient in taking orders, delivering food promptly, and addressing any issues
Knowledgeable about the menu, including ingredients, preparation methods, and specials
Interview Preparation Tips
Skills evaluated in this interview
Top trending discussions
Interview questions from similar companies
I applied via Naukri.com and was interviewed in Dec 2020. There was 1 interview round.
Interview Questionnaire
1 Question
- Q1. Job processes
Selected
I applied via Naukri.com and was interviewed before Feb 2023. There were 2 interview rounds.
(1 Question)
- Q1. OOPS concept Java fundamentals
(1 Question)
- Q1. Project work framework Rest Assured
Interview Preparation Tips
He asked me about my experience
I applied via Campus Placement and was interviewed in Nov 2023. There were 3 interview rounds.
It was the easy round to clear they ask basic quans which include DBMS and grammar over all the round was easy
(1 Question)
- Q1. The test was condected by AI overall the round is easy
(1 Question)
- Q1. They asked questions about my project and basic question in java
I applied via LinkedIn and was interviewed in Apr 2024. There were 2 interview rounds.
Asked array questions medium level
(2 Questions)
- Q1. About my internships
- Q2. And projects in detail
Interview Preparation Tips
Associate Interview Questions & Answers
SBI Cards & Payment Services
JeffTorado Alexander
posted on 3 Apr 2023
I applied via Walk-in and was interviewed before Apr 2022. There were 2 interview rounds.
(2 Questions)
- Q1. I don't exactly remember but mostly was on knowledge of the industry and intra-personnel skills and driving skills since it required in the job
- Q2. The boss was kind enough to ask about our likes and dislikes and what ticks us and where we reach our borders of tolerance and all that. some personal questions and some practical knowledge and mock scenar...
Interview Preparation Tips
if your goal is to make money forget the top para, you do you, that's all that matters, even if you are doubtful of the answer , just answer it with confidence and if he corrects you, accept and retrace yourself to move under his wings by showering him with praise as to how knowledgeable he is. for those logical types.
if your working just for experience , work and show them, keep in mind the above two tactics and you can improvise as you go. for those analytical and overthinking types .
in the end all that matters is what your looking for in our job, is it money, knowledge, experience, growth , passion, personal development choose the job that you want based on your priorities.
happy hunting.
Associate Interview Questions & Answers
SBI Cards & Payment Services
Anonymous
posted on 10 Oct 2023
Selected
I applied via Recruitment Consulltant and was interviewed in Apr 2023. There were 3 interview rounds.
(1 Question)
- Q1. Explain your favourite memory
(1 Question)
- Q1. Introduction and experience
Kshitija Bagul
Selected
I applied via Campus Placement and was interviewed before Sep 2023. There was 1 interview round.
(2 Questions)
- Q1. Explain random forest
- Ans.
Random forest is an ensemble learning method that builds multiple decision trees and merges them to improve accuracy and prevent overfitting.
Random forest is a type of ensemble learning method.
It builds multiple decision trees during training.
Each tree is built using a subset of the training data and a random subset of features.
The final prediction is made by averaging the predictions of all the individual trees.
Random...
- Q2. What is boosting
- Ans.
Boosting is a machine learning ensemble technique where multiple weak learners are combined to create a strong learner.
Boosting is an iterative process where each weak learner is trained based on the errors of the previous learners.
Examples of boosting algorithms include AdaBoost, Gradient Boosting, and XGBoost.
Boosting is used to improve the accuracy of models and reduce bias and variance.
Skills evaluated in this interview
mahesh nilkanth
(1 Question)
- Q1. What is your Dream job ?
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IMG Worlds of Adventure Waitress Reviews and Ratings
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