Engagely.ai Solution Consultant Interview Questions and Answers

Q1. Application knowledge on automation
Add your answer

General knowledge on application

Q1. Discussion on strength
Add your answer

Q1. What was the Last Project and what was your role in it ?
Ans. 
I led a team in implementing a cloud-based CRM solution for a large retail company.
• Led a team in designing and implementing a cloud-based CRM solution

• Worked closely with stakeholders to gather requirements and ensure alignment with business goals

• Managed project timeline, resources, and budget to successful completion

• Provided technical guidance and support to team members throughout the project

• Conducted training session...read more
Answered by AI
Add your answer
Q2. What was the most complex assignment done in last 4 years ?
Ans. 
Designing and implementing a cloud-based solution for a multinational corporation's global data management system.
• Developing a scalable architecture to handle large volumes of data from multiple sources

• Integrating various cloud services for data storage, processing, and analytics

• Ensuring data security and compliance with regulations across different regions

• Collaborating with cross-functional teams to gather requirement...read more
Answered by AI
Add your answer

Q1. Asked about event driven architecture
Add your answer
Q2. Asked about grpc
Add your answer
Q3. Asked about recent project architecture
Add your answer
Q4. Asked about microservice architecture
Add your answer

Q1. Based on java and related frameworks
Add your answer

Q1. Why are you leaving previous company ad when would you be able to join
Ans. 
Seeking new challenges and opportunities. Available to join in 2 weeks.
• Seeking new challenges and growth opportunities

• Looking for a company that aligns more with my career goals

• Current company lacks career advancement prospects

• Available to join in 2 weeks
Answered by AI
Add your answer

Q1. Scenario based azure questions
Add your answer
Q2. Data warehousing questions
Add your answer

Q1. What type of caching strategy to be adopted
Ans. 
The caching strategy to be adopted depends on the specific requirements and constraints of the system.
• Consider the data access patterns and frequency of updates

• Evaluate the size and volatility of the data

• Choose between client-side, server-side, or distributed caching

• Use techniques like time-based expiration, LRU, or LFU

• Consider using a combination of caching strategies for different data types or scenarios
Answered by AI
Add your answer
Q2. What is serverless architecture in the cloud?
Ans. 
Serverless architecture in the cloud refers to the design and deployment of applications without the need to manage servers.
• Serverless architecture allows developers to focus on writing code without worrying about server management.

• Applications are built using functions or microservices that are executed in response to events.

• Serverless platforms automatically scale resources based on demand, reducing costs and improvi...read more
Answered by AI
Add your answer
Q3. What are different types of Cloud Strategies? Which one would you suggest?
Ans. 
Different types of cloud strategies include public, private, hybrid, and multi-cloud. The suggested strategy depends on specific business needs.
• Public cloud strategy involves using services provided by third-party cloud providers like AWS, Azure, or Google Cloud.

• Private cloud strategy involves creating and managing a cloud infrastructure within an organization's own data center.

• Hybrid cloud strategy combines both publi...read more
Answered by AI
Add your answer

Q1. Explain projects on Resume
Add your answer
Q2. Explain how times series forecasting works
Ans. 
Time series forecasting involves analyzing past data to make predictions about future values based on patterns and trends.
• Time series forecasting uses historical data to identify patterns and trends over time.

• Common techniques include ARIMA, exponential smoothing, and machine learning algorithms like LSTM.

• Forecasting accuracy can be improved by adjusting parameters, incorporating external factors, and using ensemble me...read more
Answered by AI
Add your answer

Q1. Explain details of Machine Learning Techniques used
Ans. 
Various machine learning techniques such as regression, classification, clustering, and deep learning are used to analyze data and make predictions.
• Regression: Used to predict continuous values, such as predicting house prices based on features like size and location.

• Classification: Used to categorize data into different classes, such as classifying emails as spam or not spam.

• Clustering: Used to group similar data poin...read more
Answered by AI
Add your answer

Q1. Explain understanding of product lifecycle
Ans. 
Product lifecycle refers to the stages a product goes through from introduction to withdrawal from the market.
• Product development: Research, design, and creation of the product.

• Introduction: Launching the product into the market.

• Growth: Sales and market share increase as product gains popularity.

• Maturity: Sales peak and competition intensifies.

• Decline: Sales decrease, leading to eventual withdrawal from the market.

• Exam...read more
Answered by AI
Add your answer
Q2. Resume experience
Add your answer