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Amazon Web Services Ml Data Associate Interview Questions and Answers

Updated 20 Dec 2024

Amazon Web Services Ml Data Associate Interview Experiences

1 interview found

Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Naukri.com and was interviewed in Nov 2024. There were 2 interview rounds.

Round 1 - Aptitude Test 

English Aptitude test

Round 2 - One-on-one 

(2 Questions)

  • Q1. Tell me about yourself.
  • Ans. 

    I am a data enthusiast with a background in computer science and a passion for machine learning.

    • Graduated with a degree in computer science

    • Completed multiple projects involving machine learning algorithms

    • Proficient in programming languages like Python and R

  • Answered by AI
  • Q2. Why do you want to be a part of Amazon?
  • Ans. 

    I am passionate about leveraging data to drive innovation and growth, and I believe Amazon's cutting-edge technology and vast resources provide the perfect platform for me to make a significant impact.

    • Amazon is a global leader in e-commerce, cloud computing, artificial intelligence, and machine learning, offering unparalleled opportunities for professional growth and development.

    • I am inspired by Amazon's customer-centr...

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Be confident and be passionate. Be truthful.

Interview questions from similar companies

Interview experience
5
Excellent
Difficulty level
Easy
Process Duration
2-4 weeks
Result
-

I applied via Company Website and was interviewed in Oct 2024. There were 4 interview rounds.

Round 1 - Coding Test 

Basic Python, SQL, and Bash questions

Round 2 - One-on-one 

(4 Questions)

  • Q1. SQL questions with operations that include changing from string to array. Tip: stick to RDBMS-specific dialects only (like Postgres), I used Spark SQL
  • Q2. Simple Python questions with a follow-up to optimise it
  • Q3. Bash script-based questions, are pretty basic.
  • Q4. Data pipeline design and best practices.
  • Ans. 

    Data pipeline design involves creating a system to efficiently collect, process, and analyze data.

    • Understand the data sources and requirements before designing the pipeline.

    • Use tools like Apache Kafka, Apache NiFi, or AWS Glue for data ingestion and processing.

    • Implement data validation and error handling mechanisms to ensure data quality.

    • Consider scalability and performance optimization while designing the pipeline.

    • Doc...

  • Answered by AI
Round 3 - One-on-one 

(3 Questions)

  • Q1. Easy to medium Leetcode-based question. With moderate difficulty.
  • Q2. Simple Python-based question with optimisation.
  • Q3. Design specific questions based on Data pipelines.
Round 4 - Behavioral 

(3 Questions)

  • Q1. SQL-based question with moderate difficulty.
  • Q2. Python-based questions, follow questions with some optimisations.
  • Q3. Bash-script based round.

Skills evaluated in this interview

Interview experience
5
Excellent
Difficulty level
Hard
Process Duration
Less than 2 weeks
Result
No response

I applied via Recruitment Consulltant and was interviewed in Oct 2024. There was 1 interview round.

Round 1 - One-on-one 

(2 Questions)

  • Q1. Question about Googlyness
  • Q2. Question about Google Lens, a RCA question

Interview Preparation Tips

Topics to prepare for Google Senior Data Analyst interview:
  • Root Cause Analysis
  • Guesstimates
  • Leadership
Interview preparation tips for other job seekers - Research about Google's core values and principles.

Learn how to do a RCA and a Guesstimate.

Learn how to answer in STAR method.
Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(5 Questions)

  • Q1. Question about dba
  • Q2. Difference Between SQL And nosql
  • Ans. 

    SQL is a structured query language used for relational databases, while NoSQL is a non-relational database management system.

    • SQL is used for structured data with predefined schema, while NoSQL is used for unstructured or semi-structured data.

    • SQL databases are vertically scalable, while NoSQL databases are horizontally scalable.

    • SQL databases are ACID compliant, ensuring data integrity, while NoSQL databases sacrifice so...

  • Answered by AI
  • Q3. How to restore the database using rman
  • Ans. 

    Restoring a database using RMAN involves connecting to the target database, restoring the control file, and recovering the database.

    • Connect to the target database using RMAN

    • Restore the control file from a backup

    • Restore the datafiles and tablespaces

    • Recover the database to bring it to a consistent state

    • Perform necessary checks and validations after restoration

  • Answered by AI
  • Q4. How to change column in table
  • Ans. 

    You can change a column in a table using the ALTER TABLE statement in SQL.

    • Use the ALTER TABLE statement followed by the MODIFY keyword to change the data type or size of a column.

    • Use the ALTER TABLE statement followed by the ADD or DROP keyword to add or remove a column.

    • Make sure to specify the table name, column name, and the new data type or size when making changes.

  • Answered by AI
  • Q5. What are different types of objects in database
  • Ans. 

    Different types of objects in a database include tables, views, indexes, sequences, and stored procedures.

    • Tables: Used to store data in rows and columns.

    • Views: Virtual tables created by a query.

    • Indexes: Improve the performance of queries by allowing quick access to specific rows.

    • Sequences: Generate unique numbers.

    • Stored Procedures: Precompiled SQL code that can be executed with parameters.

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Nice company with good management and work environment.

Skills evaluated in this interview

Interview experience
3
Average
Difficulty level
-
Process Duration
-
Result
-
Round 1 - One-on-one 

(2 Questions)

  • Q1. Cache vs persist
  • Ans. 

    Cache is used for temporary storage of data in memory, while persist is used for saving data to disk for long-term storage.

    • Cache is typically faster as it stores data in memory for quick access.

    • Persist saves data to disk for durability and long-term storage.

    • Cache is often used for temporary data that can be recomputed if lost, while persist is used for important data that needs to be retained.

    • Examples: Using cache for ...

  • Answered by AI
  • Q2. Broadcast join and other optimization techniques
Round 2 - One-on-one 

(4 Questions)

  • Q1. Sql window function
  • Q2. Spark architecture, dataframe vs rdd
  • Q3. Python reverse sentence
  • Ans. 

    Reverse a sentence using Python

    • Split the sentence into words using split() method

    • Reverse the list of words using list slicing

    • Join the reversed list of words back into a sentence using join() method

  • Answered by AI
  • Q4. Join based on nulls in sql

Skills evaluated in this interview

Interview experience
5
Excellent
Difficulty level
Easy
Process Duration
Less than 2 weeks
Result
No response

I applied via Approached by Company and was interviewed in Apr 2024. There was 1 interview round.

Round 1 - Technical 

(7 Questions)

  • Q1. I am a data entry operator
  • Q2. I am a Data entry operator .
  • Ans. I am a data entry operator.
  • Answered by Mohammad Ali Khan
  • Q3. I am Excel entry operator
  • Q4. Hindi typing speed 16
  • Q5. English typing speed 20
  • Q6. Fesser no experience
  • Q7. Data entry operator

Interview Preparation Tips

Interview preparation tips for other job seekers - I am Data Entry operator.i am 3 month experience. Hindi typing speed 15. English typing speed 20.
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
No response

I applied via Referral and was interviewed in Mar 2024. There were 2 interview rounds.

Round 1 - Technical 

(1 Question)

  • Q1. Basic of python , sql, pandas,niumpy
Round 2 - Technical 

(1 Question)

  • Q1. Gave me a task to make web app for medical condition detection after clearing first round asked questions relted to it

Data Scientist Interview Questions & Answers

Chetu user image Abhilasha Dimble

posted on 22 Feb 2024

Interview experience
1
Bad
Difficulty level
Hard
Process Duration
Less than 2 weeks
Result
Not Selected

I applied via Naukri.com and was interviewed in Jan 2024. There was 1 interview round.

Round 1 - Technical 

(1 Question)

  • Q1. Asked about projects. What is classification? Is knn used for regression?how? decision tree working for regression and classification Is naive Bayes used for regression?how? LLM Docker Aws GenAI Code for ...

Interview Preparation Tips

Interview preparation tips for other job seekers - Guys, interviewer is really wierd...very rude...
Starts interview with lots of questions..
He interrupts me in every question's answer.. doesn't even ready listen my answers ...
Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(1 Question)

  • Q1. Explain surrogate key
  • Ans. 

    Surrogate key is a unique identifier used in databases to uniquely identify each record in a table.

    • Surrogate keys are typically generated by the system and have no business meaning.

    • They are used to simplify database operations and improve performance.

    • Example: Using an auto-incrementing integer column as a surrogate key in a table.

  • Answered by AI
Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(2 Questions)

  • Q1. Basic pandas questions on dataframes
  • Q2. Some quiz questions

Amazon Web Services Interview FAQs

How many rounds are there in Amazon Web Services Ml Data Associate interview?
Amazon Web Services interview process usually has 2 rounds. The most common rounds in the Amazon Web Services interview process are Aptitude Test and One-on-one Round.

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Amazon Web Services Ml Data Associate Salary
based on 24 salaries
₹2.5 L/yr - ₹3.5 L/yr
15% less than the average Ml Data Associate Salary in India
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Amazon Web Services Ml Data Associate Reviews and Ratings

based on 3 reviews

4.1/5

Rating in categories

3.9

Skill development

4.6

Work-Life balance

3.0

Salary & Benefits

3.9

Job Security

4.1

Company culture

2.3

Promotions/Appraisal

3.3

Work Satisfaction

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