2025/November Latest Braindump2go MLS-C01 Exam Dumps with PDF and VCE Free Updated Today! Following are some new Braindump2go MLS-C01 Real Exam Questions!

QUESTION 259
An ecommerce company is collecting structured data and unstructured data from its website, mobile apps, and IoT devices. The data is stored in several databases and Amazon S3 buckets. The company is implementing a scalable repository to store structured data and unstructured data. The company must implement a solution that provides a central data catalog, self-service access to the data, and granular data access policies and encryption to protect the data.
Which combination of actions will meet these requirements with the LEAST amount of setup? (Choose three.)

A. Identify the existing data in the databases and S3 buckets. Link the data to AWS Lake Formation.
B. Identify the existing data in the databases and S3 buckets. Link the data to AWS Glue.
C. Run AWS Glue crawlers on the linked data sources to create a central data catalog.
D. Apply granular access policies by using AWS Identity and Access Management (IAM). Configure server-side encryption on each data source.
E. Apply granular access policies and encryption by using AWS Lake Formation.
F. Apply granular access policies and encryption by using AWS Glue.

Answer: ACE
Explanation:
https://docs.aws.amazon.com/lake-formation/latest/dg/what-is-lake-formation.html

QUESTION 260
A machine learning (ML) specialist is developing a deep learning sentiment analysis model that is based on data from movie reviews. After the ML specialist trains the model and reviews the model results on the validation set, the ML specialist discovers that the model is overfitting.
Which solutions will MOST improve the model generalization and reduce overfitting? (Choose three.)

A. Shuffle the dataset with a different seed.
B. Decrease the learning rate.
C. Increase the number of layers in the network.
D. Add L1 regularization and L2 regularization.
E. Add dropout.
F. Decrease the number of layers in the network.

Read more

October/2021 Latest Braindump2go MLS-C01 Exam Dumps with PDF and VCE Free Updated Today! Following are some new MLS-C01 Real Exam Questions!

QUESTION 158
A company needs to quickly make sense of a large amount of data and gain insight from it. The data is in different formats, the schemas change frequently, and new data sources are added regularly. The company wants to use AWS services to explore multiple data sources, suggest schemas, and enrich and transform the data. The solution should require the least possible coding effort for the data flows and the least possible infrastructure management.
Which combination of AWS services will meet these requirements?

A. Amazon EMR for data discovery, enrichment, and transformation
Amazon Athena for querying and analyzing the results in Amazon S3 using standard SQL
Amazon QuickSight for reporting and getting insights
B. Amazon Kinesis Data Analytics for data ingestion
Amazon EMR for data discovery, enrichment, and transformation
Amazon Redshift for querying and analyzing the results in Amazon S3
C. AWS Glue for data discovery, enrichment, and transformation
Amazon Athena for querying and analyzing the results in Amazon S3 using standard SQL
Amazon QuickSight for reporting and getting insights
D. AWS Data Pipeline for data transfer
AWS Step Functions for orchestrating AWS Lambda jobs for data discovery, enrichment, and transformation
Amazon Athena for querying and analyzing the results in Amazon S3 using standard SQL
Amazon QuickSight for reporting and getting insights

Answer: A

Read more

November/2020 Latest Braindump2go MLS-C01 Exam Dumps with PDF and VCE Free Updated Today! Following are some new MLS-C01 Real Exam Questions!

QUESTION 82
A Data Scientist is building a model to predict customer churn using a dataset of 100 continuous numerical features. The Marketing team has not provided any insight about which features are relevant for churn prediction. The Marketing team wants to interpret the model and see the direct impact of relevant features on the model outcome. While training a logistic regression model, the Data Scientist observes that there is a wide gap between the training and validation set accuracy.
Which methods can the Data Scientist use to improve the model performance and satisfy the Marketing team’s needs? (Choose two.)

A. Add L1 regularization to the classifier
B. Add features to the dataset
C. Perform recursive feature elimination
D. Perform t-distributed stochastic neighbor embedding (t-SNE)
E. Perform linear discriminant analysis

Answer: BE

Read more

2020/April New Braindump2go MLS-C01 Exam Dumps with PDF and VCE Free Updated Today! Following are some new MLS-C01 Exam Questions!

New Question
A Machine Learning Specialist built an image classification deep learning model. However, the Specialist ran into an overfitting problem in which the training and testing accuracies were 99% and 75%, respectively.
How should the Specialist address this issue and what is the reason behind it?

A. The learning rate should be increased because the optimization process was trapped at a local minimum.
B. The dropout rate at the flatten layer should be increased because the model is not generalized enough.
C. The dimensionality of dense layer next to the flatten layer should be increased because the model is not complex enough.
D. The epoch number should be increased because the optimization process was terminated before it reached the global minimum.

Read more