Answer:
c. Attribute constraints
Explanation:
A data catalog identifies all of the following, except: "Attribute constraints"
The above statement is TRUE because a Data Catalog, a metadata management service, operates by searching for key data, understand and manage data for usefulness.
Data Catalog checks on the BigQuery datasets, tables, and views and checks both technical and business metadata by identifying the following attributes:
1. Data type
2. Range of values
3. Value for Instructor ID
Answer:
A. Job growth in digital media has been powerful, while print-based media companies are cutting jobs at record levels.
Explanation:
Digital media is both inexpensive and instant. Based on the art and design, it might be less expensive than print media. Campaigns and content can be created, produced, and maintained far more quickly than printed media. Digital media is dynamic and may create user data. Digital media has had a significant influence on how we obtain our daily news. As it is more easy to read, most individuals choose to acquire their news via phone applications. With the increased usage of digital media as a news source, it is worth considering if print media will become outdated.
Print media has been established for decades, and it evolved as a dominant source of news. In the last decade, an increasing number of print media businesses have expanded out from regular print and begun providing news on digital services. Young millennials, in instance, appear to invest additional time online than reading printed publications.
In some aspects, yes but these have recently been outweighed with the ad boycott youtube has not to mention google plus wasn't the most popular, to begin with, but in an overall sense yes as the name google is more often used than Facebook or twitter
Answer:
A file manager or file browser is a computer program that provides a user interface to manage files and folders.
Answer:
The quicksort pivot is an arbitrary element within the collection that is being sorted. Using the pivot point, the collection of elements is partitioned into two smaller lists of elements. Using some logic, the smaller elements are placed left of the pivot point, and larger elements are placed to the right of the pivot point. Ideally, you would prefer you pivot point to be a median of your dataset to optimize the creation of the two sublists into a balanced state.
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