Innovating With Data and Google Cloud #2 Flashcards
Eduardo is using a machine learning model to improve recruitment efficiency for his company. What candidate data is appropriate and relevant for training the model? Select the two correct answers.
a. Education
b. Years of experience
c. Ethnicity
d. Address
e. Gender
a. Education
b. Years of experience
Mark owns a large pharmaceutical company that manufactures essential medical supplies. The production lines are required to operate efficiently at all times. How can Mark use cloud technology to ensure his production lines are meeting optimal performance requirements? Select the correct answer.
a. Evaluate consumer feedback to identify customer sentiment
b. Evaluate historic data to inform new product development
c. Evaluate real-time data to monitor competitor landscape
d. Evaluate real-time data to predict maintenance requirements
d. Evaluate real-time data to predict maintenance requirements
What are the key benefits of using cloud technology to unlock value from data, especially for traditional Enterprises? Select the two correct answers.
a. Businesses can process terabytes of data in real-time.
b. Businesses can access open source data like never before
c. Businesses can query their data and retrieve results instantly.
d. Customers can now gain access to their own data instantly.
e. Customers can collaborate with corporations to create industry trends.
a. Businesses can process terabytes of data in real-time.
c. Businesses can query their data and retrieve results instantly.
Lucinda is creating a data map for her online learning company. Her datasets include learner demographics, their purchases, and browsing history. What data ‘bucket’ would these datasets fall into? Select the correct answer.
a. Corporate data
b. Industry data
c. Cloud data
d. User data
d. User data
Images and videos are examples of what type of data? Select the correct answer.
a. Unstructured
b. Structured
c. Semi-structured
d. Organized
a. Unstructured
What is a data lake?
a. A decentralized repository of structured and unstructured data.
b. A refined data repository accessible by employees.
c. A large pool of data access.
d. A repository of raw data and tend to hold ‘back up’ data.
d. A repository of raw data and tend to hold ‘back up’ data.
Which of the following is an advantage for storing and managing data in the public cloud?
a. Speed
b. Increased Coverage
c. Accessibility
d. Increased CapEx
e. Elasticity
a. Speed
e. Elasticity
Lydia manages a large hotel chain. How can Looker enable Lydia to better serve her customers?
a. She can use it to create real-time dashboards.
b. She can use it to create standard static dashboards.
c. She can use it to containerize important metrics.
d. She can use it to commercialize important metrics for customers.
a. She can use it to create real-time dashboards.
How do databases and data warehouses differ?
a. Data warehouses efficiently process structured data, while databases rapidly process unstructured data.
b. Databases efficiently process structured data, while data warehouses rapidly process unstructured data.
c. Data warehouses efficiently process structured data, while databases rapidly process software data.
d. Databases efficiently ingest large amounts of real-time data, while data warehouses rapidly analyze multi-dimensional datasets.
d. Databases efficiently ingest large amounts of real-time data, while data warehouses rapidly analyze multi-dimensional datasets.
How is data integrity achieved?
a. Through ongoing error checking and validation routines as data is collected
b. By converting all unstructured data into structured data.
c. By including all types of data regardless of type.
d. By implementing a set of rules when a database is first designed
a. Through ongoing error checking and validation routines as data is collected
d. By implementing a set of rules when a database is first designed
Machine learning is a subset of which body of knowledge?
a. Augmented Reality
b. Artificial intelligence
c. Automated intelligence
d. Virtual reality
b. Artificial intelligence
Which of the following describes data completeness?
a. Anything that can prevent the ML model from accurately predicting the correct outcome.
b. The availability of sufficient data about the world to replace human knowledge.
c. The problem scope or knowledge domain that the data covers.
d. A collection of 10 or more datasets about a domain to replace human knowledge.
b. The availability of sufficient data about the world to replace human knowledge.
One characteristic of high quality, bug-free data is that it has coverage. What are the other two qualities?
a. Cleanliness
b. Clarity
c. Simplicity
d. Completeness
e. Structure
a. Cleanliness
d. Completeness
What are two common business problems that machine learning solves? Select the two correct answers.
a. Creating personalized customer experiences
b. Restructuring inefficient internal processes.
c. Identifying competitor differentiation.
d. Automating processes.
e. Leveraging underutilized employee talent.
a. Creating personalized customer experiences
d. Automating processes.
The finance team just posted an open role for a Financial Manager. Jessica, the recruiter, wants to use a machine learning (ML) model to predict when the new position would be filled. Why is this use case not suitable for ML? Select the correct answer.
a. Once the prediction is made, the ML model is no longer useful.
b. This is an infrequent decision for a specific role and department.
c. Jessica would need access to sensitive employee data to train a custom ML model.
d. The problem statement is too vague and wouldn’t benefit the overall company.
b. This is an infrequent decision for a specific role and department.
