Describe core data concepts – Part A

Which of the following is a responsibility of a database administrator (DBA) in managing data workloads in Microsoft Azure?

You need to perform complex data transformations and analytics on a large dataset stored in Microsoft Azure. The data transformations involve joining, aggregating, and filtering data from various sources. Which Azure service should you use?

You are working on a project that involves analyzing survey data collected from different sources. The survey responses include multiple-choice questions, open-ended text responses, and rating scales. Which feature of semi-structured data makes it suitable for this scenario?

You are building a data warehouse solution in Microsoft Azure to support analytical workloads. You need a service that can ingest and process large volumes of streaming data in real-time. Which Azure service should you choose?

A company is planning to migrate its on-premises databases to Microsoft Azure. They need someone to ensure the security of their databases in the cloud. 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 responsibility of a database administrator (DBA) in managing data workloads in Microsoft Azure?

Which of the following features are associated with unstructured data?

A company wants to store a large dataset containing financial transactions in Azure. The data is structured and needs to be efficiently compressed for storage, while still allowing for easy query and analysis. Which file format would be most suitable for this scenario?

You are tasked with designing a scalable data storage solution for a company’s customer data in Microsoft Azure. Which of the following responsibilities would be part of your role as a data engineer?

Which Azure service is best suited for processing large volumes of streaming data with low latency?

Which of the following file formats is commonly used for storing structured data in Azure?

Which of the following features are commonly associated with semi-structured data?

Which of the following is a feature of structured data?

Which of the following features are typically associated with transactional workloads in Azure?

Which of the following file formats is commonly used to represent semi-structured data?

Which of the following options is a columnar database type in Azure?

You are working as a data engineer responsible for managing data workloads in Microsoft Azure. Which of the following tasks would typically fall under your responsibilities?

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?

A company wants to ensure the security and privacy of its data in Microsoft Azure. Which of the following responsibilities would be primarily handled by a data engineer?

Which of the following file formats is commonly used for storing large volumes of unstructured data in Azure?

A company wants to analyze data from its customer support tickets to identify common issues and improve its services. They require a data representation format that allows for efficient filtering and categorization of the tickets. Which feature of structured data makes it a suitable choice for this scenario?

Which of the following statements accurately describe the features of structured data?

Which of the following is an example of unstructured data?

A banking institution needs to process millions of online transactions daily, including fund transfers and account updates. They require immediate consistency and reliability to ensure accurate financial records and prevent discrepancies. Which feature is essential for supporting transactional workloads in this scenario?

Which of the following characteristics is NOT typically associated with transactional workloads in Azure?

A research team needs to store a large collection of scientific measurements and sensor data in Azure. The data is hierarchical in nature and contains complex data structures with nested relationships. Which file format would be most suitable for this scenario?

Which of the following best describes the responsibilities of a data analyst in a data workload scenario?

You are building an application that requires a highly scalable, globally distributed database service with multi-model capabilities. Which Azure service should you choose?

Which of the following best describes structured data?

Your team is developing a web application that allows users to create and customize their profiles. The user profiles can have different fields, such as name, age, location, and interests, and users have the freedom to add or remove fields based on their preferences. Which data representation feature would best suit this scenario?

A research institute collects data from various sources such as scientific instruments, sensor networks, and satellite imagery. The data includes numeric readings, timestamps, and geospatial coordinates. Which type of data representation is most suitable for this diverse dataset?

You are developing an application that requires real-time analytics on large volumes of streaming data. Which Azure service should you use?

Which of the following best describes the responsibilities of a data engineer in managing data workloads in Microsoft Azure?

A corporation is experiencing performance issues with their Azure SQL Database. They want to improve the query performance and optimize their database configuration. Which responsibility would typically fall under the role of a database administrator (DBA) in this scenario?

A company wants to store and analyze customer feedback collected from various social media platforms. The feedback includes text comments, images, and videos. Which feature of unstructured data is demonstrated in this scenario?

A financial institution requires a data solution for processing thousands of concurrent financial transactions with strict consistency and reliability requirements. Which characteristic is essential for supporting transactional workloads in this scenario?

A university wants to store and manage student records, including personal details, course registrations, and grades. They require a data representation format that supports efficient retrieval and reporting of student information based on specific criteria, such as student IDs or course codes. Which feature of structured data makes it suitable for this scenario?

You are designing a data solution for an e-commerce platform that requires real-time inventory updates and immediate order processing. Which feature is crucial for supporting transactional workloads in this scenario?

In a data workload scenario, which of the following tasks is typically not a responsibility of a data analyst?

Which of the following tasks is typically NOT a responsibility of a data engineer in managing data workloads in Microsoft Azure?

Which feature is commonly used in analytical workloads for data exploration and visualization in Microsoft Azure?

Which feature in Microsoft Azure provides a fully managed, globally distributed NoSQL database service that is commonly used for analytical workloads?

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

A company is experiencing performance issues with its Azure SQL Database. They are looking for someone to optimize query execution and enhance database performance. Which responsibility would typically fall under the role of a database administrator (DBA) in this scenario?

A healthcare organization is implementing a new system to manage patient records. They need a data representation format that supports relationships between different entities, such as patients, doctors, and medical procedures. Which feature of structured data makes it suitable for this scenario?

A company is migrating their on-premises database to Microsoft Azure. They want to ensure the security of their data in the cloud. Which responsibility would typically fall under the role of a database administrator (DBA) in this scenario?

You are working on a project that involves storing and analyzing sensor data from IoT devices. The data collected includes temperature, humidity, and various other measurements, but not all devices collect the same set of measurements. Which feature of semi-structured data makes it suitable for this scenario?

A data scientist is working on a machine learning project in Azure and needs to store large datasets with high performance for training models. The data consists of numerical values and requires support for parallel processing. Which file format would be most suitable for this scenario?

A company wants to store large amounts of sensor data generated by IoT devices in Azure. The data is semi-structured and requires efficient querying and analysis. Which file format would be most suitable for this scenario?