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Caylent Interview Questions
& Process

Real candidates share what happened, how many rounds they had,
and how the experience turned out.

Based on 109 interview experiences · FREE TO READ

2.9 Rounds average
Average Typical difficulty
83.5% Positive experience

Which role are you interviewing for?

21 roles · 109 reports

Candidate interview experiences

First-hand accounts from people who interviewed at Caylent.

Showing 4 of 109
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Cloud Architect

Engineering · nearly a year ago

Senior Average Neutral experience Accept offer 2 rounds
Interview process
Recruiter call Technical screen
Interview formats
Behavioral Technical Coding

La reclutadora fue una chica espectacular, muy amable y super sincera respecto a lo que se esperaba de mi, me pregunto un rating respecto al conocimiento de los servicios de AWS. Luego la entrevista técnica fue bastante sencilla, las preguntas fueron basicamente sobre componentes de AWS, los diferentes servicios y de ultimo, cual era mi servicio favorito de AWS.

Confirmed questions4 questions
  • Could you list the main services in AWS?
  • Can you elaborate on the details of each AWS service?
  • What distinguishes EBS from S3?
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Caylent

Learning and Development Coordinator

HR · nearly a year ago

Entry Average Positive experience Accept offer 3 rounds
Interview process
Recruiter call Phone screen Onsite
Interview formats
Behavioral Technical

The whole process was transparent, quick, and very well-organized. All the interviews were conducted on time, which made everything smooth and stress-free. What stood out to me the most was the opportunity to meet with the analyst from the area and have a clear view of how the activities are carried out and what my responsibilities would be. That moment gave me great alignment with the scope of the role and ensured that both sides had the same expectations, which made me feel even more confident that this was the right fit.

Confirmed questions1 question
  • How do you maintain organization when juggling multiple projects, and what's your method for handling them?
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Machine Learning Engineer

Engineering · a year ago

Mid Average Positive experience Accept offer 4 rounds
Interview process
Recruiter call Phone screen Technical screen Onsite Background check Offer
Interview formats
Technical Behavioral Presentation

The interview was a breeze, really put together well. It was a good mix of technical and behavioral stuff, which let me show off my ML skills and how I think. The questions were tough but practical, making me really dig into concepts like algorithms, getting models out there, and making them work better. It felt more like a chat than a quiz. I also liked learning about the company, how teams work together, solve problems, and the general vibe. It wasn't just about them checking me out; it gave me a good feel for what it'd be like to work there. Overall, a solid experience that taught me things and gave me a clear idea of the company.

Confirmed questions5 questions
  • Can you contrast the Random Forest and XGBoost algorithms?
  • Describe L1 and L2 regularization and explain your choice for feature selection.
  • What are the available methods for deploying models using Amazon SageMaker?
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Caylent

Cloud Software Architect

Engineering · a year ago

Senior Average Positive experience Accept offer 3 rounds
Interview process
Recruiter call Technical screen Technical screen
Interview formats
Behavioral Technical Coding System Design

The hiring process was pretty fast and simple. Within two weeks, I went through three interviews. First, I spoke with HR about my background and what I'm looking for. Then, I had two interviews with other architects. The initial technical interview covered development stuff like OOP, parallelism, and AWS services like DynamoDB and Lambda. The second technical interview involved talking about my experience and then a 30-minute System Design exercise.

Confirmed questions3 questions
  • How would you prevent race conditions when programming in Java?
  • What are the execution limits for AWS Lambda functions?
  • What's a cost-effective way to scale a web application on AWS?

Caylent Interview Questions

Quoted word for word from Caylent interview reports.

How does the Transformer model work and how has it helped change the field of AI?

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Can you explain the difference between a snowflake schema and a star schema?

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What's your recommendation for a client looking to build a high-availability solution on AWS?

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What is a 3-tier architecture and how would you construct one?

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What steps would you take to monitor a model deployed on SageMaker to maintain its performance?

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How would you augment a 3 tier web app to make it highly available and fault tolerant.

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Can you explain the difference between OLAP and OLTP systems and give an example use case for each?

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Can you suggest improvements to a two-tier architecture to enhance its security, resilience, and cost-effectiveness?

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Could you outline the design for a complete data pipeline using AWS services?

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Formats, difficulty and experience

Across all 109 Caylent interview reports.

Interview formats

Technical 37.9%
Behavioral 34.5%
System Design 13.2%
Presentation 7.7%
Coding 4.7%

Interview difficulty

Easy 11.9%
Average 65.1%
Difficult 22.9%

Candidate experience

Positive 83.5%
Negative 11%
Neutral 5.5%

Reports by job function

Engineering 72
Operations 13
HR 7
Sales 6
Product 4
Consulting 3