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How should the data analyst resolve the issue?
A data analyst is using Amazon QuickSight for data visualization across multiple datasets generated by applications. Each application stores files within a separate Amazon S3 bucket. AWS Glue Data Catalog is used as a central catalog across all application data in Amazon S3. A new application stores its data within...
How can this bottleneck be resolved without increasing the overall cost and complexity of the solution, while retaining the data collection quality requirements?
A company that monitors weather conditions from remote construction sites is setting up a solution to collect temperature data from the following two weather stations. Station A, which has 10 sensors Station B, which has five sensors These weather stations were placed by onsite subject-matter experts. Each sensor has a...
Which approach should the data analytics team take to allow product owners to view only their products in the dashboard?
A retail company’s data analytics team recently created multiple product sales analysis dashboards for the average selling price per product using Amazon QuickSight. The dashboards were created from .csv files uploaded to Amazon S3. The team is now planning to share the dashboards with the respective external product owners by...
What is the MOST cost-effective approach to meet these requirements?
A company is building a data lake and needs to ingest data from a relational database that has time-series data. The company wants to use managed services to accomplish this. The process needs to be scheduled daily and bring incremental data only from the source into Amazon S3. What is...
Which storage service will provide the MOST performant solution?
A company’s marketing team has asked for help in identifying a high performing long-term storage service for their data based on the following requirements: The data size is approximately 32 TB uncompressed. There is a low volume of single-row inserts each day. There is a high volume of aggregation queries...
Which action would MOST likely increase the performance of accessing log data in Amazon S3?
A media company has been performing analytics on log data generated by its applications. There has been a recent increase in the number of concurrent analytics jobs running, and the overall performance of existing jobs is decreasing as the number of new jobs is increasing. The partitioned data is stored...
How should the data be secured?
A financial company hosts a data lake in Amazon S3 and a data warehouse on an Amazon Redshift cluster. The company uses Amazon QuickSight to build dashboards and wants to secure access from its on-premises Active Directory to Amazon QuickSight. How should the data be secured?A . Use an Active...
Which combination of components can meet these requirements?
A company is planning to create a data lake in Amazon S3. The company wants to create tiered storage based on access patterns and cost objectives. The solution must include support for JDBC connections from legacy clients, metadata management that allows federation for access control, and batch-based ETL using PySpark...
Which solution will meet these requirements?
A company wants to use an automatic machine learning (ML) Random Cut Forest (RCF) algorithm to visualize complex real-world scenarios, such as detecting seasonality and trends, excluding outers, and imputing missing values. The team working on this project is non-technical and is looking for an out-of-the-box solution that will require...
Which method should the company use to collect and analyze the logs?
A software company hosts an application on AWS, and new features are released weekly. As part of the application testing process, a solution must be developed that analyzes logs from each Amazon EC2 instance to ensure that the application is working as expected after each deployment. The collection and analysis...
