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NEW QUESTION 54
A Machine Learning Specialist has completed a proof of concept for a company using a small data sample, and now the Specialist is ready to implement an end-to-end solution in AWS using Amazon SageMaker. The historical training data is stored in Amazon RDS.
Which approach should the Specialist use for training a model using that data?

A. Move the data to Amazon DynamoDB and set up a connection to DynamoDB within the notebook to pull data in.B. Move the data to Amazon ElastiCache using AWS DMS and set up a connection within the notebook to pull data in for fast access.C. Write a direct connection to the SQL database within the notebook and pull data inD. Push the data from Microsoft SQL Server to Amazon S3 using an AWS Data Pipeline and provide the S3 location within the notebook.

Answer: D

 

NEW QUESTION 55
A web-based company wants to improve its conversion rate on its landing page. Using a large historical dataset of customer visits, the company has repeatedly trained a multi-class deep learning network algorithm on Amazon SageMaker. However, there is an overfitting problem: training data shows 90% accuracy in predictions, while test data shows 70% accuracy only.
The company needs to boost the generalization of its model before deploying it into production to maximize conversions of visits to purchases.
Which action is recommended to provide the HIGHEST accuracy model for the company's test and validation data?

A. Apply L1 or L2 regularization and dropouts to the trainingB. Allocate a higher proportion of the overall data to the training datasetC. Increase the randomization of training data in the mini-batches used in trainingD. Reduce the number of layers and units (or neurons) from the deep learning network

Answer: D

 

NEW QUESTION 56
You are developing ML models with Al Platform for image segmentation on CT scans. You frequently update your model architectures based on the newest available research papers, and have to rerun training on the same dataset to benchmark their performance. You want to minimize computation costs and manual intervention while having version control for your code. What should you do?

A. Create an automated workflow in Cloud Composer that runs daily and looks for changes in code in Cloud Storage using a sensor.B. Use Cloud Functions to identify changes to your code in Cloud Storage and trigger a retraining jobC. Use the gcloud command-line tool to submit training jobs on Al Platform when you update your codeD. Use Cloud Build linked with Cloud Source Repositories to trigger retraining when new code is pushed to the repository

Answer: C

 

NEW QUESTION 57
When submitting Amazon SageMaker training jobs using one of the built-in algorithms, which common parameters MUST be specified? (Choose three.)

A. The validation channel identifying the location of validation data on an Amazon S3 bucket.B. The training channel identifying the location of training data on an Amazon S3 bucket.C. The Amazon EC2 instance class specifying whether training will be run using CPU or GPU.D. Hyperparameters in a JSON array as documented for the algorithm used.E. The IAM role that Amazon SageMaker can assume to perform tasks on behalf of the users.F. The output path specifying where on an Amazon S3 bucket the trained model will persist.

Answer: B,C,F

Explanation:
Explanation

 

NEW QUESTION 58
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