Practice14

Cloud Digital Leader

Practice 14

Question 1 of 10

1. How do databases and data warehouses differ? Select the correct answer.

A.Data warehouses efficiently process structured data, while databases rapidly process software data.

B.Data warehouses efficiently ingest large amounts of real-time data, while databases rapidly analyze large, multi-dimensional datasets

C.Databases efficiently ingest large amounts of real-time data, while data warehouses rapidly analyze multi-dimensional datasets.

D.Databases efficiently process structured data, while data warehouses rapidly process unstructured data.

Question 1 of 10

Question 2 of 10

2. Olivia wants to use a machine learning (ML) model to categorize product images from social media and use that information to make predictions about future products. Her team includes experienced developers, but no specialized data scientists or ML experts. Which Google Cloud solution can they leverage to do this? Select the correct answer.

A.Google’s APIs on Google Cloud's AI Hub

B.Notebook samples from Google Cloud's AI Hub

C.AI Platform Training (formerly known as Machine Learning Engine)

D.Tensor processing units (TPUs) for running TensorFlow

Question 2 of 10

Question 3 of 10

3. One characteristic of high quality, bug-free data is that it has coverage. What are the other two qualities? Select the two correct answers.

A.Cleanliness

B.Structure

C.Clarity

D.Completeness

Question 3 of 10

Question 4 of 10

4. Which of the following describes data completeness? Select the correct answer.

A.A collection of 10 or more datasets about a domain to replace human knowledge

B.Anything that can prevent the ML model from accurately predicting the correct outcome

C.The problem scope or knowledge domain that the data covers

D.The availability of sufficient data about the world to replace human knowledge

Question 4 of 10

Question 5 of 10

5. What are two common business problems that machine learning solves? Select the two correct answers.

A.Creating personalized customer experiences

B.Identifying competitor differentiation

C.Restructuring inefficient internal processes

D.Automating processes

E.Leveraging underutilised employee talent

Question 5 of 10

Question 6 of 10

6. Machine learning is a subset of which body of knowledge? Select the correct answer.

A.Artificial intelligence

B.Augmented reality

C.Automated intelligence

D.Virtual reality

Question 6 of 10

Question 7 of 10

7. 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.This is an infrequent decision for a specific role and department.

B.The problem statement is too vague and wouldn’t benefit the overall company.

C.Once the prediction is made, the ML model is no longer useful.

D.Jessica would need access to sensitive employee data to train a custom ML model.

Question 7 of 10

Question 8 of 10

8. What do containers recreate or virtualize? Select the correct answer.

A.Virtual machines

B.Hypervisor

C.Operating systems

D.Hardware

Question 8 of 10

Question 9 of 10

9. Which specific cloud computing feature helps businesses serve their customers without service interruption and in a cost-effective way? Select the correct answer.

A.On-demand service

B.Large Network Access

C. Elasticity

D.Agility

Question 9 of 10

Question 10 of 10

10. Aarav is a Chief Technical Officer and is considering using public cloud services, specifically to modernize their company’s IT infrastructure. Which of the following can Aarav use to build a business case for using an Infrastructure-as-a-Service (IaaS) solution? Select the correct answer.

A.Computer hardware shifts from hybrid to on-premises.

B.Web application security is managed by the cloud provider.

C.Maintenance work is outsourced to the cloud provider.

D.IT expenditure shifts from operational to capital.

Question 10 of 10