Data Analytics

The post is about Quiz Data Analytics. There are 20 multiple-choice type questions related to “The Data Ecosystem and Languages for Data Professionals” covering the Languages related to the work of data professionals such as type of data, format of data, audience, query languages, programming languages, and shell scripting. Let us start with the Quiz Data Analytics Questions now.

Quiz Data Analytics with Answers

• Which file format is independent of software, hardware, and operating systems and can be viewed the same way on any device?
• Which data source can return data in plain text, XML, HTML, or JSON?
• What is the next step must you perform after you download a dataset file from a URL?
• “A presentation is not a data dump”. What is the one thing you would do to ensure your presentation is not a data dump?
• What can you do to help your audience trust you?
• What data type is data from emails, XML, zipped files, binary executables, and TCP/IP protocols?
• Why is it important to understand the underlying data that was used to generate a data set in the context of reliability?
• Why is it important to understand the information needs of your audience?
• Which of the programming languages supports multiple programming paradigms, such as object-oriented, imperative, functional, and procedural, making it suitable for a wide variety of use cases?
• What are the requirements for data to be reliable?
• What type of data is produced by wearable devices, smart buildings, and medical devices?
• What type of data is semi-structured and has some organizational properties but not a rigid schema?
• What is one of the common structural transformations used for combining data from one or more tables?
• What does a typical data-wrangling workflow include?
• What is one of the steps in a typical data-cleaning workflow?
• When applying for a data science position, you may be tested on basic linear algebra and multivariable calculus.
• Most data visualization solutions provide users with a wide range of opportunities for data analytics, interpretation, exploration, and application.

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The Quiz is about Data Analytics MCQs Questions with Answers. There are 20 multiple-choice type questions related to “The Data Ecosystem and Languages for Data Professionals” covering the Languages related to the work of data professionals such as query languages, programming languages, and shell scripting. Let us start with the Data Analytics MCQS Questions Quiz now.

Please go to Data Analytics MCQs Questions 4 to view the test

Data Analytics MCQs Questions with Answers

• What are some of the steps in the process of “Identifying Data”?
• What tool allows you to discover, cleanse, and transform data with built-in operations?
• You are starting your career as a junior or an Associate Data Analyst and working your way up to a Principal Analyst role. What are some of the factors that influence your growth as a data analyst?
• Skills such as problem-solving, communication, and storytelling are critical to the role of a Data Analyst. Like most soft skills, you are either good at them, or you are not; these skills cannot be acquired over time.
• Which of the following statements describes Data Analyst Specialist Roles?
• A Principal Data Analyst is responsible for
• Which of the following are essential for getting started and growing as a Data Analyst?
• What Data Analysis roles may be best suited for people with little or no technical training?
• What is data analytics? Please select the most appropriate option.
• Which of the following is the most common tool used for data analytics?
• Which of the following are types of math commonly found in data analytics?
• Only holders of a Math Ph.D may work in data analytics and science.
• What is the best way to learn math for data analytics?
• Data analysis plays an important role in which of the following scenarios?
• What is data called that does not fit within the context of the use case?
• You can use dashboards to present operational data such as (i) daily progress data, (ii) analytical data, and (iii) the overall health of a business function.
• Job roles such as Project Managers, Marketing Managers, and HR Managers, can achieve greater effectiveness and efficiency in their current roles by acquiring data analysis skills, and are therefore, known as analytics-enabled job roles.
• Many advanced analytic algorithms that are consistently identified as “winners” do this?
• When completing an online application, the user is asked about their race. Which of the following is best described for this type of data?
• In a dataset, a ————– is also referred to as a variable, feature, or attribute.

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MCQs General Knowledge

The Quiz is about Data Analytics Questions with Answers. There are 20 multiple-choice type questions related to “The Data Ecosystem and Languages for Data Professionals” covering the Languages related to the work of data professionals such as query languages, programming languages, and shell scripting. Let us start with the MCQs Data Analytics Questions Quiz now.

Please go to MCQs Data Analytics Questions 3 to view the test

Online MCQs Data Analytics Questions with Answers

• Which of the following languages is one of the most popular querying languages today?
• Which NoSQL database type stores each record and its associated data within a single document and also works well with Analytics platforms?
• What type of data repository is used to isolate a subset of data for a particular business function, purpose, or community of users?
• In use cases for RDBMS, what is one of the reasons that relational databases are so well suited for OLTP applications?
• Structured Query Language, or SQL, is the standard querying language for what type of data repository?
• In the data analyst’s ecosystem, languages are classified by type. What are shell and scripting languages most commonly used for?
• Which of the following is an example of unstructured data?
• Which of the data repositories serves as a pool of raw data and stores large amounts of structured, semi-structured, and unstructured data in their native formats?
• SQL (Structured Query Language) was developed to work with relational database management systems (RDBMS).
• What institute adopted SQL as a standard?
• Which of the following is a data source that can be queried by an SQL statement?
• What technical skills are mentioned as essential for Data Analysts?
• Data Marts and Data Warehouses have typically been relational, but the emergence of what technology has helped to let these be used for non-relational data?
• Which one of the NoSQL database types uses a graphical model to represent and store data, and is particularly useful for visualizing, analyzing, and finding connections between different pieces of data?
• What is one of the most significant advantages of an RDBMS?
• Web scraping is used to extract what type of data?
• Which of the provided options offers simple commands to specify what is to be retrieved from a relational database?
• When gathering data, you find agents keep their records and do not constantly update the information in the shared company database. In this case, the data would be considered ————–.
• Document stores (also called document-oriented databases) store objects based on what?
• OpenRefine is an open-source tool that allows you to:

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