Bristlecone Associate Interview Questions and Answers

CET level questions, Math, Comprehension

Some mcq questions and coding question. Both where easy to medium level. Prepare combination/permutation/Time complexity etc

A question related to Binary search and some other follow ups.

Simple aptitude test all topics of aptitude and some technology test

Q1. Only simple interview which you mentioned in resume 30-45 minutes only
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Q2. Oops concepts, some about project only
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Q1. Brief details of isms overview
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Isms overview refers to the study of various ideologies, beliefs, and systems of thought.
• Isms refer to various ideologies and beliefs such as capitalism, socialism, feminism, etc.

• They are often used to categorize and analyze different political, social, and philosophical movements.

• Studying isms helps in understanding the underlying principles and values that shape societies and individuals.

• Examples include Marxism, exi
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Q2. What is rto and rpo
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RTO (Recovery Time Objective) is the targeted duration of time within which a business process must be restored after a disaster. RPO (Recovery Point Objective) is the maximum tolerable period in which data might be lost due to a disaster.
• RTO is the maximum acceptable downtime for a business process.

• RPO is the maximum amount of data loss that is acceptable for a business process.

• RTO and RPO are key metrics in disaster ...read more
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Q3. What is incident management
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Incident management is the process of identifying, analyzing, and resolving incidents to minimize their impact on business operations.
• Incident management involves documenting incidents, categorizing them based on severity, and prioritizing them for resolution.

• It includes creating incident tickets, assigning them to appropriate teams or individuals, and tracking their progress until resolution.

• Examples of incidents incl...read more
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Q4. How confortable are you for conducting training session
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I am very comfortable conducting training sessions and have experience in delivering engaging and informative sessions.
• I have experience in conducting training sessions for new employees on company policies and procedures.

• I am confident in my ability to communicate effectively and engage with participants during training sessions.

• I have received positive feedback from previous training sessions I have conducted.

• I am co...read more
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Q1. Details about few clauses of iso 27001
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Q2. Details about personal understanding of IT industry and business continuity
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Q1. What is your salary expectation
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My salary expectation is based on my experience, skills, and the market rate for this position.
• Research the average salary range for the position in the specific industry and location

• Consider your level of experience and skills that you bring to the role

• Be prepared to negotiate based on the benefits and opportunities offered by the company
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Q2. How quickly can you join the company
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I can join the company within two weeks of receiving an offer.
• I have a two-week notice period at my current job.

• I am available to start immediately after that.

• I can complete any necessary paperwork and onboarding processes quickly.
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Q1. Explain random forest
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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...read more
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Q2. What is boosting
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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.
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