AWS Certified Machine Learning Specialty Exam Questions & Answers

All 22 questions

1. Q1 The data science team at an analytics company is working on a linear regression model and it observes that the training error…
2. Q2 What technique would you use in SageMaker to train a new model using an expanded dataset that contains an underlying pattern that…
3. Q3 The data science team at an analytics company is working on a credit score model using SageMaker Linear Learner algorithm. The training…
4. Q4 A botanical research organization is developing a machine learning solution to identify various species of flowers from images for a biodiversity study.…
5. Q5 An insurance company is building a binary classification model to predict insurance claims. The training data contains 1800 instances of the positive…
6. Q6 A retail organization wants to forecast the sales of its flagship products for the upcoming festive season. They have the last 5…
7. Q7 A fintech startup is looking to streamline its nightly machine learning model training process, which involves a series of dependent ETL tasks.…
8. Q8 A system designed to classify financial transactions into fraudulent and non-fraudulent transactions results in the confusion matrix below. What is the recall…
9. Q9 A machine learning development team is in the process of deploying a custom machine learning model using Amazon SageMaker. The model has…
10. Q10 A data science team at your company is planning to utilize Amazon SageMaker to train an XGBoost model to predict customer churn.…
11. Q11 A data science team is planning to train a series of models using XGBoost version 1.2 or newer on Amazon SageMaker for…
12. Q12 Which of the following options represent the mandatory parameters that must be provided while submitting Amazon SageMaker training tasks that use one…
13. Q13 AWS Glue jobs can be used to create serverless ETL jobs. Which of the following ETL source input types are NOT supported…
14. Q14 A healthcare analytics firm is leveraging Amazon SageMaker to train machine learning models on sensitive patient data. To comply with strict data…
15. Q15 An analytics company wants to create a text summarization model based on the SageMaker seq2seq algorithm. However the training data is in…
16. Q16 A startup is developing an innovative application aimed at generating original music compositions through AI. The team plans to train a neural…
17. Q17 The ML solutions team at a leading ecommerce company wants to build a real time fraud detection system. As an ML Specialist,…
18. Q18 You want to create an AWS Glue crawler to read the transaction data dumped into an S3 based data lake in the…
19. Q19 A financial services company aims to automate the analysis of daily transaction costs, execution reporting, and market performance. The company has developed…
20. Q20 A social media company is experiencing poor accuracy while training on SageMaker's default built-in image classification algorithm. The Deep Learning team at…
21. Q21 After training a SageMaker Linear Learner model over a training dataset, the data science team observed that it achieved high accuracy on…
22. Q22 A data scientist at an e-commerce company is working on a solution to present individualized storefronts that best match each user’s specific…