[02/Banas/12]

<p>True</p> Signup and view all the answers

<p>False</p> Signup and view all the answers

<p>True</p> Signup and view all the answers

<p>It will have no effect on the source system</p> Signup and view all the answers

<p>It is a secret tool</p> Signup and view all the answers

<p>To analyze the quality of the internal staged data</p> Signup and view all the answers

<p>Performed against the internal staged data = True Affects the source system = False Uses secret magic = True Its purpose = To profile data</p> Signup and view all the answers

<p>Impact on the source system = None Performed against the internal staged data = Yes Use of secret magic = Yes Purpose = Data profiling</p> Signup and view all the answers

<p>Affects the source system = False Performed against the internal staged data = True Uses secret magic = True Purpose = Data profiling</p> Signup and view all the answers

<p>Identifying missing values in a dataset = Finding data points that have not been recorded or are incomplete Identifying the most common values in a column = Determining the values that appear most frequently in a specific column Identifying the most frequent patterns in a dataset = Discovering recurring patterns or sequences in the data Identifying outliers in a dataset = Locating data points that deviate significantly from the norm</p> Signup and view all the answers

<p>Text data = Can be analyzed by data profilers Numerical data = Can be analyzed by data profilers Date and time data = Can be analyzed by data profilers Image data = Cannot be analyzed by data profilers</p> Signup and view all the answers

<p>Improved data quality = Enhancement of data by identifying and resolving issues Improved data analysis = Enhancing the process of understanding and finding patterns in data Improved data-driven decision making = Enhancement of decision making by providing easy access to necessary data Improved data storage = Enhancement of data storage by optimizing the data structure</p> Signup and view all the answers

<p>Data analysts = Use data profilers to gain insights and make data-driven decisions Data scientists = Use data profilers to analyze and interpret complex data sets Data engineers = Use data profilers to design and build data processing systems Data governance managers = Ensure that data profilers are used effectively and compliantly</p> Signup and view all the answers

<p>Databases = Data profiler can work with data from databases Spreadsheets = Data profiler can work with data from spreadsheets CSV files = Data profiler can work with data from CSV files PDF files = Data profiler cannot work with data from PDF files</p> Signup and view all the answers

<p>Data profilers analyze data to identify its structure, content, and quality = Defining the main purpose of data profilers Data profilers can be used to identify problems with data, such as missing values and inconsistent data = Highlighting the data issue detection capability of data profilers Data profilers can work with a variety of data types, including text data, numerical data, and date and time data = Showing the data type compatibility of data profilers Data profilers are typically used by data analysts, data scientists, and data engineers = Indicating the user base of data profilers</p> Signup and view all the answers

<p>Data type detection = Automatically determining the type of data in a column or field Data quality rules = Defining rules or constraints that data must adhere to Data profiling statistics = Providing statistical information about the data being analyzed Data profiling visualization = Presenting the analyzed data in a visual format for easier understanding</p> Signup and view all the answers

<p>Data profilers can be used to improve the quality of data before it is used for analysis or reporting = Describing the pre-analysis or reporting data improvement capability of data profilers Data profilers can also be used to identify data that may be useful for machine learning and artificial intelligence applications = Highlighting the potential use of data profilers in advanced applications Data profilers can help to improve data analysis by making it easier to understand the data and to identify patterns and trends = Stating the impact of data profilers on data analysis Data profilers can help to improve data-driven decision making by making it easier to access and analyze the data that is needed to make decisions = Describing the impact of data profilers on decision making</p> Signup and view all the answers

<p>Data profiling = The process of examining and analyzing data to discover its structure, content, and quality Data quality = The degree to which data meets the requirements of its intended use Data governance = The overall management of the availability, usability, integrity, and security of data Outliers = Data points or values that are significantly different from other data points or values</p> Signup and view all the answers

<p>Data profilers are an important tool for improving the quality and usability of data = Highlighting the importance of data profilers in data management Data profilers can work with a variety of data types, including text data, numerical data, and date and time data = Stating the data type compatibility of data profilers Data profilers can also be used to identify patterns and trends in data = Describing the pattern and trend identification capability of data profilers Data profilers can work with data from a variety of sources, such as databases, spreadsheets, and CSV files = Showing the data source compatibility of data profilers</p> Signup and view all the answers

<p>Improved data visualization</p> Signup and view all the answers

<p>All of the above</p> Signup and view all the answers

<p>All of the above</p> Signup and view all the answers

<p>All of the above</p> Signup and view all the answers

<p>To identify problems with data</p> Signup and view all the answers

<p>Various sources including databases, spreadsheets, and CSV files</p> Signup and view all the answers

<p>All of the above</p> Signup and view all the answers

<p>All of the above</p> Signup and view all the answers

<p>Patterns and trends</p> Signup and view all the answers

<p>To improve data quality before analysis or reporting</p> Signup and view all the answers

<p>True</p> Signup and view all the answers

<p>True</p> Signup and view all the answers

<p>True</p> Signup and view all the answers

<p>False</p> Signup and view all the answers

<p>True</p> Signup and view all the answers

<p>True</p> Signup and view all the answers

<p>True</p> Signup and view all the answers

<p>True</p> Signup and view all the answers

<p>True</p> Signup and view all the answers

<p>True</p> Signup and view all the answers

<p>Identifying missing values in a dataset = Finding the instances where data is not present in a dataset Identifying the most common values in a column = Determining the values that appear most frequently in a specific column Identifying the most frequent patterns in a dataset = Discovering patterns that occur repeatedly in the data Identifying outliers in a dataset = Locating data points that deviate significantly from the norm</p> Signup and view all the answers

<p>Improved data quality = Enhancing the accuracy and reliability of the data Improved data analysis = Enhancing the understanding and interpretation of the data Improved data-driven decision making = Enhancing the ability to make informed decisions based on the data Identifying data that may be useful for machine learning and artificial intelligence applications = Finding data that can be used to train models or make predictions</p> Signup and view all the answers

<p>Text data = Data that is in the form of text, such as strings or sentences Numerical data = Data that is in the form of numbers or mathematical values Date and time data = Data that represents specific points in time or time intervals All of the above = Data profilers can work with all these data types</p> Signup and view all the answers

<p>Data profilers can help to improve the quality of data by identifying and fixing problems with the data = Data profilers can detect and resolve data issues Data profilers can work with data from a variety of sources, such as databases, spreadsheets, and CSV files = Data profilers have the ability to handle diverse data sources Data profilers can be used to identify problems with data, such as missing values, inconsistent data, and invalid data = Data profilers can spot data anomalies and inconsistencies All of the above = All these statements are true about data profilers</p> Signup and view all the answers

<p>Data analysts = Professionals who analyze data to gain insights and make data-driven decisions Data scientists = Experts who use scientific methods, algorithms, and systems to extract knowledge and insights from structured and unstructured data Data engineers = Professionals who design, build, and manage the data infrastructure that supports an organization's data needs All of the above = All these professionals can use data profilers</p> Signup and view all the answers

<p>A data profiler is a tool that analyzes data to identify its structure, content, and quality = Data profilers examine various aspects of data Data profilers are typically used by data analysts, data scientists, and data engineers = These professionals are the primary users of data profilers Data profilers can help to improve data analysis by making it easier to understand the data and to identify patterns and trends = Data profilers enhance the analysis process All of the above = All these statements are true about data profilers</p> Signup and view all the answers

<p>Databases = Structured data storage systems Spreadsheets = Tabular data storage tools CSV files = Comma-separated values files All of the above = Data profilers can work with all these sources</p> Signup and view all the answers

<p>Data profiler = A tool that analyzes data to identify its structure, content, and quality Data analysis = The process of inspecting, cleaning, transforming, and modeling data to discover useful information Data quality = The degree to which data meets the requirements of its intended use All of the above = These terms are all related to data profilers</p> Signup and view all the answers

<p>Data profilers can only work with numerical data = This is a false statement, data profilers can work with different data types The Data Profiler uses secret magic = This is a false statement, data profilers use algorithms and techniques, not magic The Data Profiler will affect the source system = This is a false statement, data profilers typically do not modify the source system All of the above = All these statements are false about data profilers</p> Signup and view all the answers

<p>Python = General-purpose programming JavaScript = Client-side scripting for web applications SQL = Database queries CSS = Styling web pages</p> Signup and view all the answers