Free AWS-Certified-Machine-Learning-Specialty Exam Braindumps

A machine learning specialist needs to analyze comments on a news website with users across the globe. The specialist must find the most discussed topics in the comments that are in either English or Spanish.
What steps could be used to accomplish this task? (Choose two.)

1. A. Use an Amazon SageMaker BlazingText algorithm to find the topics independently from language.Proceed with the analysis.
2. B. Use an Amazon SageMaker seq2seq algorithm to translate from Spanish to English, if necessar
3. C. Use aSageMaker Latent Dirichlet Allocation (LDA) algorithm to find the topics.
4. D. Use Amazon Translate to translate from Spanish to English, if necessar
5. E. Use Amazon Comprehend topic modeling to find the topics.
6. F. Use Amazon Translate to translate from Spanish to English, if necessar
7. G. Use Amazon Lex to extract topics form the content.
8. H. Use Amazon Translate to translate from Spanish to English, if necessar
9. I. Use Amazon SageMaker Neural Topic Model (NTM) to find the topics.

Correct Answer: B

A company sells thousands of products on a public website and wants to automatically identify products with potential durability problems. The company has 1.000 reviews with date, star rating, review text, review summary, and customer email fields, but many reviews are incomplete and have empty fields. Each review has already been labeled with the correct durability result.
A machine learning specialist must train a model to identify reviews expressing concerns over product durability. The first model needs to be trained and ready to review in 2 days.
What is the MOST direct approach to solve this problem within 2 days?

1. A. Train a custom classifier by using Amazon Comprehend.
2. B. Build a recurrent neural network (RNN) in Amazon SageMaker by using Gluon and Apache MXNet.
3. C. Train a built-in BlazingText model using Word2Vec mode in Amazon SageMaker.
4. D. Use a built-in seq2seq model in Amazon SageMaker.

Correct Answer: B

An office security agency conducted a successful pilot using 100 cameras installed at key locations within the main office. Images from the cameras were uploaded to Amazon S3 and tagged using Amazon Rekognition, and the results were stored in Amazon ES. The agency is now looking to expand the pilot into a full production system using thousands of video cameras in its office locations globally. The goal is to identify activities performed by non-employees in real time.
Which solution should the agency consider?

1. A. Use a proxy server at each local office and for each camera, and stream the RTSP feed to a uniqueAmazon Kinesis Video Streams video strea
2. B. On each stream, use Amazon Rekognition Video and createa stream processor to detect faces from a collection of known employees, and alert when non-employees are detected.
3. C. Use a proxy server at each local office and for each camera, and stream the RTSP feed to a uniqueAmazon Kinesis Video Streams video strea
4. D. On each stream, use Amazon Rekognition Image to detectfaces from a collection of known employees and alert when non-employees are detected.
5. E. Install AWS DeepLens cameras and use the DeepLens_Kinesis_Video module to stream video to Amazon Kinesis Video Streams for each camer
6. F. On each stream, use Amazon Rekognition Video and create a stream processor to detect faces from a collection on each stream, and alert when nonemployees are detected.
7. G. Install AWS DeepLens cameras and use the DeepLens_Kinesis_Video module to stream video to Amazon Kinesis Video Streams for each camer
8. H. On each stream, run an AWS Lambda function to capture image fragments and then call Amazon Rekognition Image to detect faces from a collection of known employees, and alert when non-employees are detected.

Correct Answer: C

An e commerce company wants to launch a new cloud-based product recommendation feature for its web application. Due to data localization regulations, any sensitive data must not leave its on-premises data center, and the product recommendation model must be trained and tested using nonsensitive data only. Data transfer to the cloud must use IPsec. The web application is hosted on premises with a PostgreSQL database that contains all the data. The company wants the data to be uploaded securely to Amazon S3 each day for model retraining.
How should a machine learning specialist meet these requirements?

1. A. Create an AWS Glue job to connect to the PostgreSQL DB instanc
2. B. Ingest tables without sensitive data through an AWS Site-to-Site VPN connection directly into Amazon S3.
3. C. Create an AWS Glue job to connect to the PostgreSQL DB instanc
4. D. Ingest all data through an AWS Site- to-Site VPN connection into Amazon S3 while removing sensitive data using a PySpark job.
5. E. Use AWS Database Migration Service (AWS DMS) with table mapping to select PostgreSQL tables with no sensitive data through an SSL connectio
6. F. Replicate data directly into Amazon S3.
7. G. Use PostgreSQL logical replication to replicate all data to PostgreSQL in Amazon EC2 through AWS Direct Connect with a VPN connectio
8. H. Use AWS Glue to move data from Amazon EC2 to Amazon S3.

Correct Answer: C