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They asked me what I would add to my implementation of the assignment, and why I made some of the technical choices I have. The technical questions were the kind you can find in any coding interview website. I recognized one of the questions, but not the other 2.
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Senior Back End Engineer

Interviewed at Bizzabo

3.7★
May 5, 2021

They asked me what I would add to my implementation of the assignment, and why I made some of the technical choices I have. The technical questions were the kind you can find in any coding interview website. I recognized one of the questions, but not the other 2.

Create two microservices for calculating people's social rating. First microservice (data collector) should: 1. consume http requests with JSON in a body: { "first_name": <text>, "last_name": <text>, "age": <number> } 2. read calculation seed from application properties file (it can be just a random number 0-1) 3. send all information to the queue Second microservice (social rating calculator) should: 1. read message from the queue 2. calculate social rating score (score = base seed * user’s age) 3. print similar to the following message to the application console "<firstName> <lastName> has <socialRatingScore> score" Bonus points: - use docker to run dependent services - the second microservice should save calculated scores for each user in the Redis - It should be possible to specify properties file on the application start phase Desirable to use Java, Spring Boot, Apache Kafka (or AWS SQS).
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Back-end Software Engineer

Interviewed at CyberCube

4.6★
Mar 2, 2020

Create two microservices for calculating people's social rating. First microservice (data collector) should: 1. consume http requests with JSON in a body: { "first_name": <text>, "last_name": <text>, "age": <number> } 2. read calculation seed from application properties file (it can be just a random number 0-1) 3. send all information to the queue Second microservice (social rating calculator) should: 1. read message from the queue 2. calculate social rating score (score = base seed * user’s age) 3. print similar to the following message to the application console "<firstName> <lastName> has <socialRatingScore> score" Bonus points: - use docker to run dependent services - the second microservice should save calculated scores for each user in the Redis - It should be possible to specify properties file on the application start phase Desirable to use Java, Spring Boot, Apache Kafka (or AWS SQS).

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