1. A machine learning team is working on a project that requires the deployment of Kubernetes applications. The team has decided to use Amazon Elastic Kubernetes Service (EKS) to deploy and manage the Kubernetes clusters. The team is concerned about the security of the EKS cluster and wants to use the best practices to secure the cluster. Which of the following statements is true regarding EKS security?

A) EKS clusters are protected by default with AWS IAM and Kubernetes RBAC to manage access to resources.
B) EKS clusters are secured by default and do not require any additional security configurations.
C) EKS clusters do not support network policies, and the security must be managed by configuring security groups for worker nodes.
D) EKS clusters automatically create and manage SSL/TLS certificates for secure communication between the Kubernetes API server and worker nodes.



2. You are working on a machine learning project that requires querying data from S3 using Amazon Athena. You want to optimize the performance of your queries by partitioning the data. Which of the following statements is true regarding partitioning in Amazon Athena?

A) Partitioning can be done on any type of data stored in S3, regardless of the file format.
B) Partitioning can only be done on JSON and CSV files stored in S3.
C) Partitioning requires the use of a specific AWS service in addition to Amazon Athena.
D) Partitioning in Amazon Athena requires the creation of a partitioned table and specifying the partition keys.



3. A retail company wants to forecast the weekly demand for its products in different regions. They have historical sales data for the past three years, including the product category, price, promotion information, and customer demographics. They plan to use Amazon Forecast to train and deploy the machine learning model. Which of the following statements is correct about the Amazon Forecast service in this scenario?

A) Amazon Forecast can automatically handle feature engineering and selection based on the provided data.
B) Amazon Forecast requires the user to define the forecasting horizon and provide external data to improve the accuracy of the forecast.
C) Amazon Forecast does not support time-series forecasting and cannot handle large datasets.
D) Amazon Forecast requires the user to manually preprocess the data before training the machine learning model.



4. Which of the following statements about AWS Deep Learning AMIs (DLAMIs) is true?

A) AWS Deep Learning AMIs are only available for use on Amazon EC2 instances that have GPU instances attached.
B) AWS Deep Learning AMIs do not come with any pre-installed deep learning frameworks, and users must manually install the required framework(s).
C) AWS Deep Learning AMIs are only available in certain regions, and users may have to replicate their work to other regions to run their models.
D) AWS Deep Learning AMIs provide pre-configured environments for machine learning and deep learning that include popular deep learning frameworks such as TensorFlow, PyTorch, and MXNet.



5. A company has a large dataset stored in Amazon S3 and wants to create a data warehouse for their data scientists to perform analytical queries. Which of the following options should they use to load the data into Amazon Redshift for analysis?

A) AWS Lambda
B) Amazon S3 Select
C) Amazon S3 Transfer Acceleration
D) Amazon Kinesis Firehose