FREE PDF QUIZ 2025 THE BEST AMAZON LATEST MLS-C01 DUMPS QUESTIONS

Free PDF Quiz 2025 The Best Amazon Latest MLS-C01 Dumps Questions

Free PDF Quiz 2025 The Best Amazon Latest MLS-C01 Dumps Questions

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Tags: Latest MLS-C01 Dumps Questions, New MLS-C01 Dumps Questions, MLS-C01 Regualer Update, MLS-C01 Exam Score, Certification MLS-C01 Sample Questions

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The AWS Certified Machine Learning - Specialty certification exam is ideal for professionals who are looking to advance their careers in the field of machine learning and artificial intelligence. It is a great way to showcase your skills and expertise to potential employers and clients, and to demonstrate your commitment to staying up-to-date with the latest developments in this rapidly evolving field. Additionally, AWS certification exams are recognized globally, which means that earning this certification can help you land new job opportunities in different countries and regions.

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Achieving the AWS Certified Machine Learning - Specialty certification demonstrates to potential employers that you have the knowledge and skills required to build and deploy ML solutions on AWS. AWS Certified Machine Learning - Specialty certification is ideal for data scientists, software developers, and IT professionals who want to enhance their career prospects and demonstrate their expertise in the fast-growing field of machine learning. With the demand for ML experts increasing rapidly, this certification is an excellent way to stand out in a competitive job market.

Amazon AWS Certified Machine Learning - Specialty Sample Questions (Q82-Q87):

NEW QUESTION # 82
A trucking company is collecting live image data from its fleet of trucks across the globe. The data is growing rapidly and approximately 100 GB of new data is generated every day. The company wants to explore machine learning uses cases while ensuring the data is only accessible to specific IAM users.
Which storage option provides the most processing flexibility and will allow access control with IAM?

  • A. Use a database, such as Amazon DynamoDB, to store the images, and set the IAM policies to restrict access to only the desired IAM users.
  • B. Setup up Amazon EMR with Hadoop Distributed File System (HDFS) to store the files, and restrict access to the EMR instances using IAM policies.
  • C. Configure Amazon EFS with IAM policies to make the data available to Amazon EC2 instances owned by the IAM users.
  • D. Use an Amazon S3-backed data lake to store the raw images, and set up the permissions using bucket policies.

Answer: D

Explanation:
Explanation
The best storage option for the trucking company is to use an Amazon S3-backed data lake to store the raw images, and set up the permissions using bucket policies. A data lake is a centralized repository that allows you to store all your structured and unstructured data at any scale. Amazon S3 is the ideal choice for building a data lake because it offers high durability, scalability, availability, and security. You can store any type of data in Amazon S3, such as images, videos, audio, text, etc. You can also use AWS services such as Amazon Rekognition, Amazon SageMaker, and Amazon EMR to analyze and process the data in the data lake. To ensure the data is only accessible to specific IAM users, you can use bucket policies to grant or deny access to the S3 buckets based on the IAM user's identity or role. Bucket policies are JSON documents that specify the permissions for the bucket and the objects in it. You can use conditions to restrict access based on various factors, such as IP address, time, source, etc. By using bucket policies, you can control who can access the data in the data lake and what actions they can perform on it.
References:
AWS Machine Learning Specialty Exam Guide
AWS Machine Learning Training - Build a Data Lake Foundation with Amazon S3 AWS Machine Learning Training - Using Bucket Policies and User Policies


NEW QUESTION # 83
While working on a neural network project, a Machine Learning Specialist discovers thai some features in the data have very high magnitude resulting in this data being weighted more in the cost function What should the Specialist do to ensure better convergence during backpropagation?

  • A. Data augmentation for the minority class
  • B. Model regulanzation
  • C. Data normalization
  • D. Dimensionality reduction

Answer: A


NEW QUESTION # 84
A Machine Learning Specialist is required to build a supervised image-recognition model to identify a cat. The ML Specialist performs some tests and records the following results for a neural network-based image classifier:
Total number of images available = 1,000 Test set images = 100 (constant test set) The ML Specialist notices that, in over 75% of the misclassified images, the cats were held upside down by their owners.
Which techniques can be used by the ML Specialist to improve this specific test error?

  • A. Increase the number of layers for the neural network.
  • B. Increase the training data by adding variation in rotation for training images.
  • C. Increase the number of epochs for model training.
  • D. Increase the dropout rate for the second-to-last layer.

Answer: B

Explanation:
Explanation
To improve the test error for the image classifier, the Machine Learning Specialist should use the technique of increasing the training data by adding variation in rotation for training images. This technique is called data augmentation, which is a way of artificially expanding the size and diversity of the training dataset by applying various transformations to the original images, such as rotation, flipping, cropping, scaling, etc. Data augmentation can help the model learn more robust features that are invariant to the orientation, position, and size of the objects in the images. This can improve the generalization ability of the model and reduce the test error, especially for cases where the images are not well-aligned or have different perspectives1.
References:
1: Image Augmentation - Amazon SageMaker


NEW QUESTION # 85
A monitoring service generates 1 TB of scale metrics record data every minute A Research team performs queries on this data using Amazon Athena The queries run slowly due to the large volume of data, and the team requires better performance How should the records be stored in Amazon S3 to improve query performance?

  • A. Parquet files
  • B. CSV files
  • C. RecordIO
  • D. Compressed JSON

Answer: A

Explanation:
Parquet is a columnar storage format that can store data in a compressed and efficient way. Parquet files can improve query performance by reducing the amount of data that needs to be scanned, as only the relevant columns are read from the files. Parquet files can also support predicate pushdown, which means that the filtering conditions are applied at the storage level, further reducing the data that needs to be processed. Parquet files are compatible with Amazon Athena, which can leverage the benefits of the columnar format and provide faster and cheaper queries. Therefore, the records should be stored in Parquet files in Amazon S3 to improve query performance.
References:
Columnar Storage Formats - Amazon Athena
Parquet SerDe - Amazon Athena
Optimizing Amazon Athena Queries - Amazon Athena
Parquet - Apache Software Foundation


NEW QUESTION # 86
A Machine Learning Specialist is working with multiple data sources containing billions of records that need to be joined. What feature engineering and model development approach should the Specialist take with a dataset this large?

  • A. Use an Amazon SageMaker notebook for both feature engineering and model development
  • B. Use Amazon EMR for feature engineering and Amazon SageMaker SDK for model development
  • C. Use an Amazon SageMaker notebook for feature engineering and Amazon ML for model development
  • D. Use Amazon ML for both feature engineering and model development.

Answer: C


NEW QUESTION # 87
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