AWS-Certified-Data-Analytics-Specialty Free Practice Test

A large company has a central data lake to run analytics across different departments. Each department uses a separate AWS account and stores its data in an Amazon S3 bucket in that account. Each AWS account uses the AWS Glue Data Catalog as its data catalog. There are different data lake access requirements based on roles. Associate analysts should only have read access to their departmental data. Senior data analysts can have access in multiple departments including theirs, but for a subset of columns only.
Which solution achieves these required access patterns to minimize costs and administrative tasks?

1. A. Consolidate all AWS accounts into one accoun
2. B. Create different S3 buckets for each department and move all the data from every account to the central data lake accoun
3. C. Migrate the individual data catalogs into a central data catalog and apply fine-grained permissions to give to each user the required access to tables and databases in AWS Glue and Amazon S3.
4. D. Keep the account structure and the individual AWS Glue catalogs on each accoun
5. E. Add a central data lake account and use AWS Glue to catalog data from various account
6. F. Configure cross-account access for AWS Glue crawlers to scan the data in each departmental S3 bucket to identify the schema and populate the catalo
7. G. Add the senior data analysts into the central account and apply highly detailed access controls in the Data Catalog and Amazon S3.
8. H. Set up an individual AWS account for the central data lak
9. I. Use AWS Lake Formation to catalog the cross- account location
10. J. On each individual S3 bucket, modify the bucket policy to grant S3 permissions to the Lake Formation service-linked rol
11. K. Use Lake Formation permissions to addfine-grained access controls to allow senior analysts to view specific tables and columns.
12. L. Set up an individual AWS account for the central data lake and configure a central S3 bucke
13. M. Use an AWS Lake Formation blueprint to move the data from the various buckets into the central S3 bucke
14. N. On each individual bucket, modify the bucket policy to grant S3 permissions to the Lake Formation service-linked rol
15. O. Use Lake Formation permissions to add fine-grained access controls for both associate and senior analysts to view specific tables and columns.

Correct Answer: C
Lake Formation provides secure and granular access to data through a new grant/revoke permissions model that augments AWS Identity and Access Management (IAM) policies. Analysts and data scientists can use the full portfolio of AWS analytics and machine learning services, such as Amazon Athena, to access the data. The configured Lake Formation security policies help ensure that users can access only the data that they are authorized to access. Source : https://docs.aws.amazon.com/lake-formation/latest/dg/how-it-works.html

A company receives data from its vendor in JSON format with a timestamp in the file name. The vendor uploads the data to an Amazon S3 bucket, and the data is registered into the company’s data lake for analysis and reporting. The company has configured an S3 Lifecycle policy to archive all files to S3 Glacier after 5 days.
The company wants to ensure that its AWS Glue crawler catalogs data only from S3 Standard storage and ignores the archived files. A data analytics specialist must implement a solution to achieve this goal without changing the current S3 bucket configuration.
Which solution meets these requirements?

1. A. Use the exclude patterns feature of AWS Glue to identify the S3 Glacier files for the crawler to exclude.
2. B. Schedule an automation job that uses AWS Lambda to move files from the original S3 bucket to a new S3 bucket for S3 Glacier storage.
3. C. Use the excludeStorageClasses property in the AWS Glue Data Catalog table to exclude files on S3 Glacier storage
4. D. Use the include patterns feature of AWS Glue to identify the S3 Standard files for the crawler to include.

Correct Answer: A

A team of data scientists plans to analyze market trend data for their company’s new investment strategy. The trend data comes from five different data sources in large volumes. The team wants to utilize Amazon Kinesis to support their use case. The team uses SQL-like queries to analyze trends and wants to send notifications based on certain significant patterns in the trends. Additionally, the data scientists want to save the data to Amazon S3 for archival and historical re-processing, and use AWS managed services wherever possible. The team wants to implement the lowest-cost solution.
Which solution meets these requirements?

1. A. Publish data to one Kinesis data strea
2. B. Deploy a custom application using the Kinesis Client Library (KCL) for analyzing trends, and send notifications using Amazon SN
3. C. Configure Kinesis Data Firehose on the Kinesis data stream to persist data to an S3 bucket.
4. D. Publish data to one Kinesis data strea
5. E. Deploy Kinesis Data Analytic to the stream for analyzing trends, and configure an AWS Lambda function as an output to send notifications using Amazon SN
6. F. Configure Kinesis Data Firehose on the Kinesis data stream to persist data to an S3 bucket.
7. G. Publish data to two Kinesis data stream
8. H. Deploy Kinesis Data Analytics to the first stream for analyzing trends, and configure an AWS Lambda function as an output to send notifications using Amazon SN
9. I. Configure Kinesis Data Firehose on the second Kinesis data stream to persist data to an S3 bucket.
10. J. Publish data to two Kinesis data stream
11. K. Deploy a custom application using the Kinesis Client Library (KCL) to the first stream for analyzing trends, and send notifications using Amazon SN
12. L. Configure Kinesis Data Firehose on the second Kinesis data stream to persist data to an S3 bucket.

Correct Answer: B

An online retail company with millions of users around the globe wants to improve its ecommerce analytics capabilities. Currently, clickstream data is uploaded directly to Amazon S3 as compressed files. Several times each day, an application running on Amazon EC2 processes the data and makes search options and reports available for visualization by editors and marketers. The company wants to make website clicks and aggregated data available to editors and marketers in minutes to enable them to connect with users more effectively.
Which options will help meet these requirements in the MOST efficient way? (Choose two.)

1. A. Use Amazon Kinesis Data Firehose to upload compressed and batched clickstream records to Amazon Elasticsearch Service.
2. B. Upload clickstream records to Amazon S3 as compressed file
3. C. Then use AWS Lambda to send data to Amazon Elasticsearch Service from Amazon S3.
4. D. Use Amazon Elasticsearch Service deployed on Amazon EC2 to aggregate, filter, and process the data.Refresh content performance dashboards in near-real time.
5. E. Use Kibana to aggregate, filter, and visualize the data stored in Amazon Elasticsearch Servic
6. F. Refresh content performance dashboards in near-real time.
7. G. Upload clickstream records from Amazon S3 to Amazon Kinesis Data Streams and use a Kinesis Data Streams consumer to send records to Amazon Elasticsearch Service.

Correct Answer: AD

A large university has adopted a strategic goal of increasing diversity among enrolled students. The data analytics team is creating a dashboard with data visualizations to enable stakeholders to view historical trends. All access must be authenticated using Microsoft Active Directory. All data in transit and at rest must be encrypted.
Which solution meets these requirements?

1. A. Amazon QuickSight Standard edition configured to perform identity federation using SAML 2.0. and the default encryption settings.
2. B. Amazon QuickSight Enterprise edition configured to perform identity federation using SAML 2.0 and the default encryption settings.
3. C. Amazon QuckSight Standard edition using AD Connector to authenticate using Active Directory.Configure Amazon QuickSight to use customer-provided keys imported into AWS KMS.
4. D. Amazon QuickSight Enterprise edition using AD Connector to authenticate using Active Directory.Configure Amazon QuickSight to use customer-provided keys imported into AWS KMS.

Correct Answer: D