AWS Certified Data Analytics – Specialty (DAS-C01) Exam Simulator #2

Which collection system is suitable for capturing data changes at the source in real-time?

Which collection system is suitable for capturing data changes at the source with a requirement for handling unstructured data?

Which of the following AWS services is best suited for capturing data that requires a specific data structure, such as XML or JSON?

Which of the following compression formats is recommended for capturing data that has a lot of repeated patterns or values?

Which collection system is best suited to address out-of-order delivery of data in a data analytics environment?

Which message delivery guarantee does Amazon Kinesis Data Streams provide?

Which AWS service can be used to transform and filter data during the collection process in real-time?

Which AWS service can be used to filter and transform data during the collection process by writing custom code?

What is an important consideration when identifying the latency characteristics of a collection system?

Which of the following factors is NOT important in determining data persistence at a point of data capture?

Which AWS service can be used to monitor and evaluate data loss tolerance in the event of failures?

Which of the following is an operational characteristic that should be evaluated to ensure data loss is within tolerance limits?

You work for a company that wants to migrate their data from on-premises servers to AWS cloud. You need to evaluate the costs associated with data migration to the AWS cloud. Which of the following costs should you consider in your evaluation?

You are tasked with evaluating the costs associated with acquiring data from a third-party vendor for your organization’s data analysis. Which of the following costs should you consider in your evaluation?

Which of the following failure scenarios is NOT a risk to the collection system?

What is the recommended remediation action in the event of a data unavailability failure scenario in the collection system?

At which point in the data capture process should data persistence be implemented?

What is the purpose of implementing data persistence at various points of data capture?

What is the main factor that determines the latency characteristics of a collection system?

What is the impact of high latency in a collection system?

Which storage solution is appropriate for a workload with ad hoc access patterns and infrequent use?

Which storage solution is appropriate for a workload that requires continuous usage and high-performance access to data?

Which storage solution is appropriate for a workload that requires sequential access to data?

Which storage solution is appropriate for a workload that requires frequent random access to data?

You are working on a project for a healthcare provider that requires the storage of sensitive patient data. The data needs to be updated in batches of small size frequently throughout the day. Which AWS service would be the most appropriate for this use case?

You are building a data analytics platform for a large e-commerce company that receives a massive amount of customer orders data every day. You need to design a storage solution for this data that can handle updates in batches every hour. Which AWS service would be the most appropriate for this use case?

You are working on a data analytics project that requires frequent updates of transactional data, and the storage solution must support ACID (Atomicity, Consistency, Isolation, Durability) properties. Which storage solution would be the most appropriate for this requirement?

Which AWS storage solution is appropriate for bulk updates of data with infrequent read access patterns and low storage cost requirements?

Which AWS storage solution should you use for bulk updates of data with frequent read access patterns?

What is the most appropriate AWS storage solution to use for batch processing scenarios where data freshness is not a critical requirement?

Which AWS storage solution should you use to address the need for high data freshness in real-time analytics scenarios?

A data analytics application requires eventual consistency for its storage system. Which AWS storage service is the most appropriate for this use case?

A data analytics application requires strong consistency for its storage system. Which AWS storage service is the most appropriate for this use case?

You need to choose a storage solution for a high-performance analytics workload that requires low latency and high throughput. Which AWS storage service would be the most appropriate for this scenario?

You are tasked with designing a storage solution for a mission-critical analytics workload that requires high durability and reliability. Which AWS storage service would be the most appropriate for this scenario?

You need to choose a storage service for a high-performance analytics workload. Which AWS storage service would be the most appropriate for this scenario?

You are working with a large dataset and need to choose a storage service that balances performance and cost-effectiveness. Which AWS storage service would be the most appropriate for this scenario?

Which storage solution is appropriate for a workload that has frequent updates to data?

Which storage solution is appropriate for a workload that has append-only changes to data?

You are working on a data analytics project that requires frequent updates of transactional data, which needs to be stored in a highly available and durable storage solution. Which storage solution would be the most appropriate for this requirement?

A company needs to search for and retrieve metadata about data stored in various data stores in their AWS environment. Which of the following mechanisms would be the most appropriate for this scenario?

A company needs to search for and retrieve data catalogs and metadata across various storage systems in their AWS environment. Which of the following mechanisms would be the most appropriate for this scenario?

Which AWS service allows users to create a managed metadata repository to manage, discover, and search for any data across an organization?

Which AWS service allows users to easily search, discover, and use datasets that are stored in AWS?

A company needs to evaluate mechanisms for discovering new and updated data sources as part of their data management strategy. Which AWS service can help them achieve this?

A data analyst needs to choose a system for cataloging and managing metadata for their organization’s data. They want a system that can handle large volumes of data and support search, query, and reporting functionality. Which AWS service should they choose?

A financial services company needs to store transaction data for a period of 5 years for regulatory compliance reasons. The data is rarely accessed after the first year, but needs to be retained for the full 5-year period. Which AWS storage solution is the most cost-effective option for this use case?

A data analyst at a healthcare company is tasked with implementing a data retention policy for their patient records. The company wants to store records for at least 10 years for compliance reasons, but also wants to minimize costs. Which AWS storage solution should the analyst use to meet these requirements?

A healthcare organization needs to store patient data for compliance purposes. The data includes sensitive information such as medical records and personal identification information. The organization needs to ensure that the data is secure and protected against unauthorized access. Which data lifecycle strategy should the organization use?

A company has a large dataset that is frequently accessed for real-time analytics. However, the data becomes less relevant after a certain period of time, and the company wants to reduce the storage costs by archiving the data. Which data lifecycle strategy should the company use?

Which ETL technique is appropriate for processing large volumes of data and optimizing costs on AWS?

A company wants to process its large amounts of data in real-time and use machine learning to analyze the data. They require a solution that can scale automatically, has high availability, and provides real-time analytics capabilities. Which AWS service would best fit their requirements?

A data analytics team is planning to process large amounts of data in a scalable and cost-effective way. They need a solution that can handle both batch and real-time processing, and provides automatic scaling and fault tolerance. Which AWS service would best fit their requirements?

You are tasked with processing a large amount of data that is stored in a database on Amazon RDS. The data needs to be processed quickly and efficiently, and the processing steps are dependent on each other. Which AWS service would be most appropriate to meet these performance and orchestration needs?

You are working on a project that requires processing large amounts of data in a short amount of time. The data is stored in Amazon S3 and needs to be transformed before being loaded into a data warehouse. Which AWS service would be most appropriate to meet these performance and orchestration needs?

You are working on a project that involves migrating data from an on-premises data warehouse to an Amazon Redshift cluster. Which AWS service would be most appropriate for this use case?
A. AWS DMS

You are designing a data processing solution that involves collecting streaming data from various sources and storing it in a central location for further analysis. Which AWS service would be most appropriate for this use case?

What AWS service can be used to create and manage data pipelines that automate the movement and transformation of data between different data stores?

What is a suitable AWS service for processing streaming data with the ability to preprocess, filter, and transform data before it is stored in a data store or consumed by an application?

Which AWS service is best suited for performing data cleansing and normalization on large datasets that are stored in an S3 bucket?

Which AWS service is best suited for performing data deduplication and record linking on a large dataset that is stored in an RDS instance?

Which of the following data sources would be the best choice for real-time data processing?

Which of the following data targets would be the best choice for data that needs to be accessed quickly and frequently?

Which of the following services would be the best choice for this requirement?

A company needs to process data in real-time and respond to events immediately. Which of the following services would be the best choice for this requirement?

A company has set up a data analytics pipeline using AWS Glue and Amazon Redshift to process and store their data. They want to provide their clients with access to specific metrics and KPIs through a RESTful API. Which AWS service should they use to achieve this?

A data analyst is working with a large e-commerce company to analyze customer behavior on their website. They want to create a dashboard that displays key metrics such as page views, bounce rates, and conversion rates. Which AWS service should the analyst use to create this dashboard?

A healthcare organization wants to monitor patient vital signs in real-time to detect anomalies and trigger alerts when necessary. Which data analysis solution should they choose?

A retail company wants to analyze the purchasing behavior of its customers in order to identify patterns and trends. Which data analysis solution should they choose?

A finance company wants to analyze customer data to identify potential fraud cases. The company wants to use a solution that allows their data analysts to collaborate on the analysis process and share insights. Which data analysis solution is most appropriate for this scenario?

A healthcare company wants to analyze patient data to identify patterns and trends that may affect patient outcomes. The company wants to use a solution that allows different teams to collaborate and share insights in real-time. Which data analysis solution is most appropriate for this scenario?

A social media company wants to analyze its user’s behavior to understand the most popular posts and users. The company wants to use a solution that can process large amounts of unstructured data and apply machine learning algorithms to the data. Which data analysis solution is most appropriate for this scenario?

A retail company wants to analyze their customer’s behavior on their website to understand their buying patterns and preferences. The company wants to use a solution that allows them to interact with the data and visualize it in real-time. Which data analysis solution is most appropriate for this scenario?

A financial company wants to detect fraudulent transactions in real-time. Which type of analysis would be most appropriate for this scenario?

A social media company wants to analyze user engagement in real-time to optimize content delivery. Which type of analysis would be most appropriate for this scenario?

The data is stored in multiple formats and sources, and the company wants to perform complex data analysis. Which data analysis solution would be most appropriate for this scenario?

A retail company wants to analyze customer behavior on their website to improve sales. The company has a large dataset of customer clickstream data and wants to perform real-time analytics. Which data analysis solution would be most appropriate for this scenario?

When should you consume dynamic data for visualizations?

When should you pre-compute and consume static data for visualizations?

Which AWS service allows you to create static and interactive visualizations of data?

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?

A data analyst needs to implement column-level permissions for a particular table in Amazon Athena. Which of the following authorization methods should the analyst use?

A data analyst needs to implement table-level permissions for a particular database in Amazon Redshift. Which of the following authorization methods should the analyst use?

Which AWS service can be used to manage access to Amazon Redshift clusters?

Which of the following statements is true about Access Control Lists (ACLs) in Amazon S3?

Which of the following AWS services allows you to use tags to control access to resources?

Which of the following AWS services allows you to create policies that define who can access which resources within an AWS account?

Which of the following authentication methods can be used to grant temporary access to AWS resources?

Which of the following authentication mechanisms can be used to provide secure access to an Amazon RDS instance?

A data analytics team is using AWS Managed Microsoft AD for authentication of their AWS resources. Which of the following is an appropriate way to implement SSO for AWS resources using AWS Managed Microsoft AD?

A data analytics team wants to implement Single Sign-On (SSO) for their AWS resources. Which of the following authentication methods is appropriate for implementing SSO?

A data analytics team is implementing federated access for their AWS resources. They have decided to use OAuth 2.0 for this purpose. Which of the following is an appropriate authentication method for implementing federated access using OAuth 2.0?

Suppose a company wants to implement federated access for its AWS analytics environment. Which of the following is an appropriate authentication method for federated access?
A. AWS Identity and Access Management (IAM) user accounts
B. Web Identity Federation
C. AWS Single Sign-On (SSO)
D. Security Assertion Markup Language (SAML)

Correct Answer: C. AWS Single Sign-On (SSO)

AWS Single Sign-On (SSO) is an appropriate authentication method for federated access, as it allows users to sign in to the AWS environment using their existing credentials from their corporate directory. This enables organizations to manage user access and permissions centrally, reducing the administrative burden on IT teams.

Option A is incorrect: IAM user accounts are not an appropriate authentication method for federated access, as they require users to have an AWS account and associated credentials.
Option B is incorrect: Web Identity Federation is used to allow users to access AWS resources using credentials from third-party identity providers like Google, Facebook, or Amazon. It is not used for federated access.
Option D is incorrect: Security Assertion Markup Language (SAML) is a protocol used for exchanging authentication and authorization data between parties. While it is used in federated access scenarios, it is not an authentication method itself.

A company wants to implement federated access for its AWS analytics environment, but it also wants to ensure that users are only able to access resources based on their roles and responsibilities within the organization. Which of the following mechanisms is an appropriate authorization method to meet this requirement?

You are designing a data analytics solution on AWS for a company with multiple business units. The company wants to implement a single sign-on (SSO) solution for its employees to access the analytics solution. Which AWS service provides a managed SSO solution for AWS accounts and cloud applications?

Your company has a data analytics solution on AWS that uses multiple AWS services. You want to implement single sign-on (SSO) for your employees to access the solution. Which of the following is a common SSO standard that you can use to implement SSO for your AWS solution?

Which of the following is the most appropriate method to implement authentication for an Amazon S3 bucket?

Which of the following is the most appropriate method to implement authentication for an Amazon RDS instance?