Analysis and Visualization – Part B

Which integrated solution is appropriate for an organization that needs to analyze and visualize data from multiple sources that are stored in different formats, including structured, semi-structured, and unstructured data?

Which integrated solution is appropriate for an organization that needs to combine data from a variety of sources, including on-premises databases, SaaS applications, and cloud-based services, to create a unified dashboard?

Which data access mechanism is appropriate for an organization that wants to create reports and dashboards from a large dataset that is stored in a data warehouse?

Which data visualization solution is appropriate for an organization that wants to create real-time dashboards for monitoring system performance with low latency requirements?

A data analyst is working with a dataset containing customer feedback on a company’s products and services. The analyst needs to identify which specific issues are driving the highest number of negative comments. Which data visualization tool would be the most appropriate for this scenario?

A data analyst is working with a large dataset containing customer demographics and purchasing behavior. The analyst needs to find out which products are most popular among customers under the age of 30. Which data visualization tool would be the most appropriate for this scenario?

A data analyst is working with a dataset containing customer satisfaction ratings for different products over time. The analyst needs to drill down into the data to identify which specific features of a particular product received the lowest ratings. Which data visualization tool would be the most appropriate for this scenario?

A data analyst is working with a large dataset containing sales data for a retail company. The analyst needs to identify which products are driving the highest revenue in each region. Which data visualization tool would be the most appropriate for this scenario?

A data scientist needs to build a machine learning model to predict customer churn for a large e-commerce company. Which AWS service is the best fit for this scenario?

A data analyst needs to analyze real-time streaming data from multiple sources to monitor website traffic and detect anomalies in real-time. Which AWS service is the best fit for this scenario?

You have created a sales dashboard that displays monthly sales data. The data is generated once a day by a batch process that runs at midnight. Which data refresh schedule is most appropriate for this scenario?

You have created a dashboard that provides real-time updates on customer transactions for a financial institution. The data for this dashboard is being generated continuously by various sources. Which data refresh schedule is most appropriate for this scenario?

Which method is appropriate for delivering data to a remote team of data scientists who need to collaborate on a machine learning project using Jupyter notebooks?

Which method is appropriate for delivering data to a team of data analysts who need to collaborate on a project using Jupyter notebooks?

Which data delivery method is appropriate for a marketing campaign report that requires real-time updates and access to data via email for a remote team?

Which data delivery method is appropriate for a financial report that needs to be sent to multiple stakeholders via email?

Which data delivery method is appropriate for a data visualization application that requires offline access to data and analysis on mobile devices for executives?

Which data delivery method is appropriate for a business intelligence application that requires real-time access to data and analysis on mobile devices for field sales representatives?

A data analyst needs to provide a summary report on customer behavior on a website. What is the most appropriate method for data delivery?

In a business intelligence solution, a company needs to deliver real-time dashboards for their customers to view sales performance. Which method of data delivery is the most appropriate for this scenario?

A company has a mobile application that generates a lot of data, and they want to track the user behavior in real-time. They want a solution that can provide real-time insights and allow them to interact with the data. Which AWS service would be the best fit for this scenario?

A company has developed a new mobile application and wants to track user behavior for different features of the application. The company wants to use an API to integrate the data with their existing analytics tool. Which AWS service would be the best fit for this scenario?

You have a dataset of employee performance ratings and want to display the distribution of ratings for each department. Which data visualization solution should you use to display this tabular data?

You have a large dataset of customer transactions and want to display the total revenue generated by each product category. Which data visualization solution should you use to display this tabular data?

You are analyzing customer feedback on a new product feature and want to display the overall satisfaction rating. Which data visualization solution should you use to display this KPI?

You are analyzing the revenue generated by different product lines over the past year. Which data visualization solution should you use to display the Key Performance Indicators (KPIs) for this analysis?

You are analyzing the performance of a website and want to display the number of pageviews by hour of the day. Which data visualization solution should you use to display this data?

You are analyzing customer data to determine the most popular product category sold during the holiday season. Which data visualization solution should you use to display this data?

A company wants to analyze their customers’ behavior and preferences using historical data to improve their marketing strategies. Which type of analysis solution should they use?

A company wants to monitor the performance of their website in real-time and quickly detect anomalies to improve their customers’ experience. Which type of analysis solution should they use?

A healthcare provider wants to analyze its patient data to identify potential risk factors for certain diseases. Which AWS data analysis solution would be the most appropriate for this scenario?

A retail company wants to analyze its sales data to determine which products are selling the most and which stores are generating the most revenue. Which AWS data analysis solution would be the most appropriate for this scenario?

A company wants to analyze its e-commerce data to identify trends in customer behavior and optimize their sales strategy. Which AWS data analysis solution would be the most appropriate for this scenario?

A company wants to analyze its social media data to determine customer sentiment towards their brand. Which AWS data analysis solution would be the most appropriate for this scenario?

Which of the following visualization approaches is best suited for an application where users require complex visualizations that involve aggregating large amounts of data?

Which of the following visualization approaches is best suited for an application where users require real-time updates on data insights?

When is an interactive presentation of data the most effective?

In which scenario should you use a dynamic presentation of data?

A company is considering using an analysis tool for their data analytics needs. Which of the following design principles would be most important to ensure high availability of the tool?

A data analyst is evaluating an analysis tool to determine its availability characteristics. Which of the following metrics should be considered?

Which AWS service can help provide fault tolerance for an AWS data analytics solution?

What is the difference between RPO and RTO when it comes to failover recovery and fault tolerance within an AWS data analytics solution?

Which AWS service can help scale up or down an analysis solution based on demand?

What factors can affect the scalability of an analysis solution in AWS?

Which AWS tool can help to estimate the cost associated with an analysis and visualization solution?

What can help determine the cost associated with an analysis and visualization solution in AWS?