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Google Maps Artificial Intelligence Analyst Interview Questions and Answers

Updated 28 Sep 2024

Google Maps Artificial Intelligence Analyst Interview Experiences

1 interview found

Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(2 Questions)

  • Q1. Why do you think AI is necessary in maps
  • Ans. 

    AI is necessary in maps for real-time updates, personalized recommendations, and efficient route planning.

    • Real-time updates: AI can analyze traffic patterns and provide real-time updates to help users avoid congestion.

    • Personalized recommendations: AI can analyze user preferences and behavior to provide personalized recommendations for restaurants, attractions, etc.

    • Efficient route planning: AI can optimize routes based ...

  • Answered by AI
  • Q2. AI models and underlying technology
Round 2 - HR 

(2 Questions)

  • Q1. Product discussion
  • Q2. Salary discussion

Skills evaluated in this interview

Interview questions from similar companies

Interview experience
3
Average
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
No response

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

Round 1 - Assignment 

SQL, excel, tableau , looker studio

Round 2 - HR 

(1 Question)

  • Q1. What is your notice period.
Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Coding Test 

Basic coding qns and aptitude questions which can be done easily

Round 2 - Case Study 

They gave guesstimate questions where scenarios will be given and you have to give an approximate estimate to it based on various factors

Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Not Selected

I applied via Campus Placement and was interviewed in Apr 2024. There was 1 interview round.

Round 1 - Technical 

(2 Questions)

  • Q1. Difference between logistic regression and svm
  • Ans. 

    Logistic regression is a linear model used for binary classification, while SVM is a non-linear model that can handle complex decision boundaries.

    • Logistic regression is a probabilistic model that predicts the probability of a binary outcome based on input features.

    • SVM aims to find the hyperplane that best separates the classes in a high-dimensional space.

    • Logistic regression is more interpretable and easier to implement...

  • Answered by AI
  • Q2. Data augmentation related questions

Interview Preparation Tips

Topics to prepare for HyperVerge Data Analyst interview:
  • Machine Learning

Skills evaluated in this interview

Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(2 Questions)

  • Q1. What is LLM how do you fine tune them
  • Ans. 

    LLM stands for Language Model. Fine tuning involves adjusting hyperparameters and training on specific data.

    • LLM stands for Language Model, which is a type of AI model that predicts the next word in a sentence.

    • Fine tuning LLM involves adjusting hyperparameters such as learning rate, batch size, and number of training epochs.

    • Fine tuning also involves training the LLM on specific data related to the task at hand, such as ...

  • Answered by AI
  • Q2. What is RAG and its working?
  • Ans. 

    RAG stands for Red, Amber, Green and is a project management tool used to visually indicate the status of tasks or projects.

    • RAG is commonly used in project management to quickly communicate the status of tasks or projects.

    • Red typically indicates tasks or projects that are behind schedule or at risk, Amber indicates tasks that are on track but may need attention, and Green indicates tasks that are on schedule or complet...

  • Answered by AI
Interview experience
1
Bad
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Not Selected

I applied via Company Website and was interviewed in Feb 2024. There were 2 interview rounds.

Round 1 - HR 

(2 Questions)

  • Q1. General Question Tell me about yourself
  • Q2. How soon you can join
Round 2 - Coding Test 

Read about MPIN that is used to access mobile banking apps

Many a times users end up setting an MPIN that is guessable because

1. It is a commonly used MPIN eg 1122

2. It is a combination of easily known demographics of the user. Eg: if the birthdate is 02- Jan-1998 then MPIN could be 0201 or 9802 or 0201 etc. Demographics such as these could be used alone or in a combination

a. DOB

b. Wedding Anniversary

c. Spouse birthday

Solutions Required

1. Part A: Assume that the MPIN is 4-digits. Write a program that suggests if the MPIN is a commonly used one. Ignore the demographics for this part

2. Part B: Enhance the above to take user's demographics as input and provides an output

a. Strength: WEAK or STRONG

3. Part C: Enhance the above to provide the following outputs

a. Strength: WEAK or STRONG

b. If weak then the reason why was it considered weak: It should give from the following the reasons as an array. Array should be empty if Strength is STRONG and non-empty if WEAK

i. COMMONLY_USED

ii. DEMOGRAPHIC_DOB_SELF

iii. DEMOGRAPHIC_DOB_SPOUSE

iv. DEMOGRAPHIC_ANNIVERSARY

4. Part E: Above with a 6-digit PIN

5. Write code that tests the above written code using a set of inputs. Write at least 20 test case in PYTHON

Interview experience
2
Poor
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
-

I applied via Referral and was interviewed in Jun 2024. There were 3 interview rounds.

Round 1 - Aptitude Test 

50 questions need to do in 15 mins.

Round 2 - One-on-one 

(1 Question)

  • Q1. Hr round easy asked to solve easy puzzle and guestimate.
Round 3 - Technical 

(1 Question)

  • Q1. Onsite interview where they give you task that is irrelevant.

Interview Preparation Tips

Interview preparation tips for other job seekers - The working environment at OneBanc is way too bad. It's a 12-hour job from 9:30 a.m. to 9:30 pm with no Saturdays off. It's a startup, and the work culture is very bad. Do not join this company.
Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Naukri.com and was interviewed before Oct 2022. There were 3 interview rounds.

Round 1 - Resume Shortlist 
Pro Tip by AmbitionBox:
Keep your resume crisp and to the point. A recruiter looks at your resume for an average of 6 seconds, make sure to leave the best impression.
View all tips
Round 2 - One-on-one 

(1 Question)

  • Q1. Up selling concept
  • Ans. 

    Up selling is the practice of encouraging customers to purchase a higher-end product or additional items in order to increase sales.

    • Understand the customer's needs and preferences to recommend relevant upgrades or add-ons

    • Highlight the benefits of the higher-end product or additional items

    • Offer package deals or discounts for purchasing multiple items

    • Provide excellent customer service to build trust and increase likeliho...

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

(2 Questions)

  • Q1. Cross selling concept
  • Q2. Up selling concept
  • Ans. 

    Up selling is the practice of encouraging customers to purchase a higher-end product or additional items in order to increase sales and revenue.

    • Understand the customer's needs and preferences to recommend relevant products or services

    • Highlight the benefits and features of the higher-end product to justify the additional cost

    • Offer package deals or discounts for purchasing multiple items together

    • Provide excellent custome...

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Be confident
Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-

I applied via Campus Placement

Round 1 - Resume Shortlist 
Pro Tip by AmbitionBox:
Keep your resume crisp and to the point. A recruiter looks at your resume for an average of 6 seconds, make sure to leave the best impression.
View all tips
Round 2 - Assignment 

Its was data structure and algorithm and SQL round 4 question of dsa and 2 question of sql

Round 3 - Technical 

(1 Question)

  • Q1. How does OTP less work make a systematic diagram for it/
  • Ans. 

    OTP less work eliminates the need for one-time passwords for authentication.

    • OTP less work uses alternative methods like biometrics, push notifications, or hardware tokens for authentication.

    • It provides a more seamless and user-friendly authentication experience.

    • Examples include fingerprint scanning on smartphones or security keys for two-factor authentication.

  • Answered by AI
Round 4 - HR 

(1 Question)

  • Q1. Everything related to yourself.
Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
-
Result
-
Round 1 - One-on-one 

(1 Question)

  • Q1. Data management intern , based in excel .interview questions

Google Maps Interview FAQs

How many rounds are there in Google Maps Artificial Intelligence Analyst interview?
Google Maps interview process usually has 2 rounds. The most common rounds in the Google Maps interview process are Technical and HR.
What are the top questions asked in Google Maps Artificial Intelligence Analyst interview?

Some of the top questions asked at the Google Maps Artificial Intelligence Analyst interview -

  1. Why do you think AI is necessary in m...read more
  2. AI models and underlying technol...read more
  3. Product discuss...read more

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Google Maps Artificial Intelligence Analyst Interview Process

based on 1 interview

Interview experience

5
  
Excellent
View more

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