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NEW QUESTION 26
A financial services company is building a robust serverless data lake on Amazon S3. The data lake should be flexible and meet the following requirements:
- Support querying old and new data on Amazon S3 through Amazon Athena
and Amazon Redshift Spectrum.
- Support event-driven ETL pipelines
- Provide a quick and easy way to understand metadata
Which approach meets these requirements?
- A. Use an AWS Glue crawler to crawl S3 data, an Amazon CloudWatch alarm to trigger an AWS Batch job, and an AWS Glue Data Catalog to search and discover metadata.
- B. Use an AWS Glue crawler to crawl S3 data, an Amazon CloudWatch alarm to trigger an AWS Glue ETL job, and an external Apache Hive metastore to search and discover metadata.
- C. Use an AWS Glue crawler to crawl S3 data, an AWS Lambda function to trigger an AWS Batch job, and an external Apache Hive metastore to search and discover metadata.
- D. Use an AWS Glue crawler to crawl S3 data, an AWS Lambda function to trigger an AWS Glue ETL job, and an AWS Glue Data catalog to search and discover metadata.
Answer: D
Explanation:
The AWS Glue Data Catalog is your persistent metadata store. It is a managed service that lets you store, annotate, and share metadata in the AWS Cloud in the same way you would in an Apache Hive metastore.
The Data Catalog is a drop-in replacement for the Apache Hive Metastore
https://docs.aws.amazon.com/zh_tw/glue/latest/dg/components-overview.html
NEW QUESTION 27
A machine learning (ML) specialist wants to secure calls to the Amazon SageMaker Service API. The specialist has configured Amazon VPC with a VPC interface endpoint for the Amazon SageMaker Service API and is attempting to secure traffic from specific sets of instances and IAM users. The VPC is configured with a single public subnet.
Which combination of steps should the ML specialist take to secure the traffic? (Choose two.)
- A. Add a SageMaker Runtime VPC endpoint interface to the VPC.
- B. Modify the ACL on the endpoint network interface to restrict access to the instances.
- C. Add a VPC endpoint policy to allow access to the IAM users.
- D. Modify the security group on the endpoint network interface to restrict access to the instances.
- E. Modify the users' IAM policy to allow access to Amazon SageMaker Service API calls only.
Answer: C,D
Explanation:
Explanation/Reference: https://aws.amazon.com/blogs/machine-learning/private-package-installation-in-amazon- sagemaker-running-in-internet-free-mode/
NEW QUESTION 28
An Machine Learning Specialist discover the following statistics while experimenting on a model.
What can the Specialist from the experiments?
- A. The model In Experiment 1 had a high variance error lhat was reduced in Experiment 3 by regularization Experiment 2 shows that there is minimal bias error in Experiment 1
- B. The model in Experiment 1 had a high bias error that was reduced in Experiment 3 by regularization Experiment 2 shows that there is minimal variance error in Experiment 1
- C. The model in Experiment 1 had a high random noise error that was reduced in Expenment 3 by regularization Expenment 2 shows that random noise cannot be reduced by increasing layers and neurons in the model
- D. The model in Experiment 1 had a high bias error and a high variance error that were reduced in Experiment 3 by regularization Experiment 2 shows thai high bias cannot be reduced by increasing layers and neurons in the model
Answer: D
NEW QUESTION 29
A company wants to classify user behavior as either fraudulent or normal. Based on internal research, a Machine Learning Specialist would like to build a binary classifier based on two features: age of account and transaction month. The class distribution for these features is illustrated in the figure provided.
Based on this information which model would have the HIGHEST accuracy?
- A. Logistic regression
- B. Single perceptron with tanh activation function
- C. Support vector machine (SVM) with non-linear kernel
- D. Long short-term memory (LSTM) model with scaled exponential linear unit (SELL))
Answer: A
NEW QUESTION 30
A company is setting up an Amazon SageMaker environment. The corporate data security policy does not allow communication over the internet.
How can the company enable the Amazon SageMaker service without enabling direct internet access to Amazon SageMaker notebook instances?
- A. Create VPC peering with Amazon VPC hosting Amazon SageMaker.
- B. Create a NAT gateway within the corporate VPC.
- C. Create Amazon SageMaker VPC interface endpoints within the corporate VPC.
- D. Route Amazon SageMaker traffic through an on-premises network.
Answer: B
Explanation:
https://docs.aws.amazon.com/sagemaker/latest/dg/sagemaker-dg.pdf (46)
NEW QUESTION 31
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