Google Maps Artificial Intelligence Analyst Interview Questions and Answers

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...read more
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Q2. Data augmentation related questions
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SQL, excel, tableau , looker studio

Q1. What is your notice period.
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Q1. General Question Tell me about yourself
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Q2. How soon you can join
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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

50 questions need to do in 15 mins.

Q1. Hr round easy asked to solve easy puzzle and guestimate.
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Q1. Onsite interview where they give you task that is irrelevant.
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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 ...read more
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Q2. What is RAG and its working?
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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...read more
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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...read more
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Q1. Cross selling concept
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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...read more
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