Describe core data concepts – Part B

You are developing a system to store and analyze customer support tickets from multiple channels, such as email, chat, and phone. Each ticket includes customer information, timestamp, ticket category, and a variable number of additional custom fields depending on the ticket source. Which data representation feature would best suit this scenario?

An e-commerce platform needs to process customer orders in real-time, including inventory updates, order fulfillment, and payment processing. They require immediate updates and consistency to ensure accurate stock availability and timely order processing. Which characteristic is crucial for supporting transactional workloads in this scenario?

A retail company is designing a data solution for managing inventory levels across multiple stores. They require immediate updates to inventory levels after every purchase and want to ensure data consistency across all stores. Which characteristic is crucial for supporting transactional workloads in this scenario?

A company needs to store large volumes of log data generated by various applications in Azure. The data is text-based and needs to be easily accessible for analysis. Which file format would be most suitable for this scenario?

You are working on a project that requires a highly flexible, schema-less database service to store semi-structured and unstructured data. Which Azure service should you choose?

You are working on a project that involves analyzing sensor data collected from IoT devices deployed in various locations. The sensor data includes temperature, humidity, and pressure readings, as well as additional metadata such as device ID and timestamp. Which feature of semi-structured data makes it suitable for this scenario?

You are working on an analytical project in Microsoft Azure and need to process and analyze large volumes of unstructured data such as text documents and images. The project requires a service that can leverage AI capabilities for text analytics and image recognition. Which Azure service should you choose?

You are building an analytical solution in Microsoft Azure that requires interactive data exploration and visualization. The solution needs to support querying large volumes of structured and unstructured data using a familiar SQL-like language. Which Azure service should you use?

Company XYZ has recently migrated their on-premises databases to Microsoft Azure. They want to ensure high availability and disaster recovery for their databases. Which responsibility would typically fall under the role of a database administrator (DBA) in this scenario?

Which of the following tasks is typically not a primary responsibility of a data analyst in a data workload scenario?

A healthcare organization wants to store patient records securely and perform real-time updates to ensure accurate information retrieval during medical consultations. Which feature is essential for supporting transactional workloads in this scenario?

A company wants to store and analyze data related to its inventory management system, including product details, stock levels, and sales records. They require a data representation format that allows for efficient joins and data merging between different tables. Which feature of structured data makes it a suitable choice for this scenario?

A corporation wants to optimize its Azure Cosmos DB performance by fine-tuning its configuration settings. Which responsibility would typically fall under the role of a database administrator (DBA) in this scenario?

You are building an application that requires a high-performance, in-memory database for real-time data processing. Which Azure service should you use?

In the context of managing data workloads in Microsoft Azure, which of the following tasks would NOT typically be a responsibility of a data engineer?

You are building an e-commerce platform that needs to store product data. The products have different attributes, such as name, description, price, and category. However, some products may have additional attributes specific to their category, such as color for clothing items or weight for electronics. Which data representation feature would best suit this scenario?

In a data workload scenario, which of the following tasks is typically a responsibility of a data analyst?

A retail company wants to analyze their sales data to identify trends and patterns. They need a data representation format that allows for efficient querying and analysis. Which feature of structured data makes it a suitable choice for this scenario?

A data processing system in Azure requires storing large amounts of binary data files. The system needs a file format that supports efficient random access and can handle complex binary data structures. Which file format would be most suitable for this scenario?

You are working on a project that involves analyzing social media data. The data includes posts from various platforms, such as Twitter and Facebook, which contain text, images, timestamps, and user metadata. Which feature of semi-structured data makes it suitable for this scenario?

A healthcare organization wants to store and analyze patient data, including medical records, diagnostic images, and sensor data from wearable devices. The data contains structured metadata along with unstructured text and multimedia files. Which data storage solution is best suited for this scenario?

You are developing a web application that requires a relational database to store structured data. The application needs strong consistency, automatic backups, and built-in high availability. Which Azure service should you choose?

You are designing a data analytics solution in Microsoft Azure that requires near real-time data ingestion and analysis. The solution needs to handle both streaming and batch data processing. Which Azure service should you choose?

You are developing a system to store and analyze customer transaction data. The data includes transaction ID, customer ID, transaction amount, and a variable number of additional attributes based on the type of transaction. Which data representation feature would best suit this scenario?

You are developing an analytical solution in Microsoft Azure that requires performing complex data transformations and aggregations on large datasets. The solution needs to support scalable and distributed processing. Which Azure service should you choose?

A financial institution needs to process a large volume of credit card transactions in real-time. They require immediate validation and authorization of each transaction to ensure the security and integrity of their payment system. Which feature is essential for supporting transactional workloads in this scenario?

A financial institution needs to store transaction data for millions of customers. They require a data representation format that supports efficient data retrieval based on specific criteria, such as customer IDs or transaction dates. Which feature of structured data makes it suitable for this scenario?

You are working on a project that involves analyzing data from various sources, including CSV files, JSON documents, and XML files. The data from each source has a different structure and set of attributes. Which feature of semi-structured data makes it suitable for this scenario?

A company has a complex data ecosystem with multiple data sources and data integration requirements. They need someone to design and implement data integration solutions for their Azure environment. Which responsibility would typically fall under the role of a database administrator (DBA) in this scenario?

A marketing team wants to analyze customer data from multiple sources, such as CRM systems, web analytics, and social media platforms. They require a data representation format that can handle a high volume of data while ensuring data integrity and consistency. Which feature of structured data makes it suitable for this scenario?

You are developing an analytical solution in Microsoft Azure that requires building and executing complex data transformation workflows. The solution should support scheduling, dependency management, and monitoring of data workflows. Which Azure service should you choose?

A logistics company needs to track the movement of packages in real-time across various locations. They require immediate updates to the package status, such as pickup, transit, and delivery, to ensure accurate tracking information for their customers. Which characteristic is crucial for supporting transactional workloads in this scenario?

A company wants to store and analyze data from various sources, including customer surveys, social media, and website logs. They require a data representation format that can handle diverse data types and structures. Which feature of structured data makes it a suitable choice for this scenario?

A company is planning to implement a new data warehouse solution in Microsoft Azure. They want to ensure efficient data loading and transformation processes. Which responsibility would typically fall under the role of a database administrator (DBA) in this scenario?

You are developing a system to store and analyze customer feedback data. The feedback can be provided in different formats, such as text, audio recordings, and image files. Each feedback entry may contain multiple attributes, such as the customer’s name, timestamp, and sentiment. Which data representation feature would best suit this scenario?

An IoT (Internet of Things) solution collects data from various devices such as temperature sensors, humidity sensors, and motion detectors. The data includes timestamps, numeric measurements, and device identifiers. Which data representation is most suitable for this diverse dataset?

As a data engineer working with Microsoft Azure, which of the following tasks is typically within your responsibilities?

Which of the following tasks is typically not a primary responsibility of a data analyst in a data workload scenario?

A company wants to ensure the security and privacy of its data stored in Azure databases. They are looking for someone to define and enforce data access policies. Which responsibility would typically fall under the role of a database administrator (DBA) in this scenario?

Which of the following tasks is typically not a primary responsibility of a data analyst in a data workload scenario?

In a data workload scenario, which of the following tasks is typically a responsibility of a data analyst?

You are building an application that requires a globally distributed, multi-model database to support different data models such as key-value, document, columnar, and graph. The application needs automatic scaling, low latency, and high throughput. Which Azure service should you use?

You are working on a data analytics project in Microsoft Azure and need to build and deploy machine learning models. The project requires a service that supports automated machine learning and model training. Which Azure service should you use?

You are developing a mobile application that requires offline sync capabilities with a cloud-based database. The application should seamlessly synchronize data between the mobile devices and the database when connectivity is available. Which Azure service should you use?

You are designing a data storage solution for a web application that requires a flexible and scalable NoSQL database. The database should be capable of handling high read and write workloads while providing low latency access to data. Which Azure service should you choose?

A retail company collects customer data from multiple sources, including transaction logs, social media interactions, and customer support chat logs. The data includes text, images, and videos. Which feature of unstructured data is exemplified in this scenario?

A healthcare organization needs to store medical records containing sensitive patient information in Azure. The data must be encrypted at rest and in transit to comply with privacy regulations. Which file format would be most suitable for this scenario?

In the context of data workloads in Microsoft Azure, which of the following tasks is NOT typically a responsibility of a data engineer?

A company wants to store a large dataset containing multimedia content such as images, audio, and video files in Azure. The dataset needs to be easily accessible and efficiently managed for media streaming applications. Which file format would be most suitable for this scenario?

As a data engineer in a cloud-based environment, which of the following responsibilities are typically part of your role?