Free AWS Certified Machine Learning - Specialty Exam Braindumps (page: 5)

Page 5 of 84

An employee found a video clip with audio on a company's social media feed. The language used in the video is Spanish. English is the employee's first language, and they do not understand Spanish. The employee wants to do a sentiment analysis.

What combination of services is the MOST efficient to accomplish the task?

  1. Amazon Transcribe, Amazon Translate, and Amazon Comprehend
  2. Amazon Transcribe, Amazon Comprehend, and Amazon SageMaker seq2seq
  3. Amazon Transcribe, Amazon Translate, and Amazon SageMaker Neural Topic Model (NTM)
  4. Amazon Transcribe, Amazon Translate and Amazon SageMaker BlazingText

Answer(s): A



A Machine Learning Specialist is packaging a custom ResNet model into a Docker container so the company can leverage Amazon SageMaker for training. The Specialist is using Amazon EC2 P3 instances to train the model and needs to properly configure the Docker container to leverage the NVIDIA GPUs.

What does the Specialist need to do?

  1. Bundle the NVIDIA drivers with the Docker image.
  2. Build the Docker container to be NVIDIA-Docker compatible.
  3. Organize the Docker container's file structure to execute on GPU instances.
  4. Set the GPU flag in the Amazon SageMaker CreateTrainingJob request body.

Answer(s): B

Explanation:

To leverage the NVIDIA GPUs on Amazon EC2 P3 instances for training with Amazon SageMaker, the Docker container must be built to be compatible with NVIDIA-Docker.

NVIDIA-Docker is a wrapper around Docker that makes it easier to use GPUs in containers by providing GPU-aware functionality.

To build a Docker container that is compatible with NVIDIA-Docker, the Specialist should install the NVIDIA GPU drivers in the Docker container and install the NVIDIA-Docker runtime on the EC2 instances.


Reference:

https://docs.aws.amazon.com/sagemaker/latest/dg/sagemaker-dg.pdf



A Machine Learning Specialist is building a logistic regression model that will predict whether or not a person will order a pizza. The Specialist is trying to build the optimal model with an ideal classification threshold.

What model evaluation technique should the Specialist use to understand how different classification thresholds will impact the model's performance?

  1. Receiver operating characteristic (ROC) curve
  2. Misclassification rate
  3. Root Mean Square Error (RMSE)
  4. L1 norm

Answer(s): A


Reference:

https://docs.aws.amazon.com/machine-learning/latest/dg/binary-model-insights.html



An interactive online dictionary wants to add a widget that displays words used in similar contexts. A Machine Learning Specialist is asked to provide word features for the downstream nearest neighbor model powering the widget.

What should the Specialist do to meet these requirements?

  1. Create one-hot word encoding vectors.
  2. Produce a set of synonyms for every word using Amazon Mechanical Turk.
  3. Create word embedding vectors that store edit distance with every other word.
  4. Download word embeddings pre-trained on a large corpus.

Answer(s): D

Explanation:

The solution is word embedding. As it is an interactive online dictionary, we need pre-trained word embedding thus the answer is D. In addition, there is no mention that the online dictonary is unique and does not have a pre-trained word embedding.



Page 5 of 84



Post your Comments and Discuss Amazon AWS Certified Machine Learning - Specialty exam with other Community members:

Perumal commented on March 01, 2024
Very useful
Anonymous
upvote

Reddy commented on December 14, 2023
these are pretty useful
Anonymous
upvote

Reddy commented on December 14, 2023
These are pretty useful
Anonymous
upvote

Nik commented on July 16, 2021
These study guides are the same as any other exam dums except you get them here for a very discounted price. Quality and formatting is good plus the Xengine App software is a good simulator tool which comes for free.
UNITED STATES
upvote