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Viewing page 9 out of 13 pages

Viewing questions 81-90 out of questions

Questions # 81:

An organization needs to store structured, semi-structured, and unstructured data in its raw, native format in the same repository.

Which cloud data management solution should the organization use?

Options:

Data field

Data lake

Database

Data warehouse

Questions # 82:

A real estate organization processes photos of properties uploaded by their agents to an internal application. They must manually check and remove photos that contain personally identifiable information like passports and credit cards. They want a solution that their developer can use to integrate with their app as quickly as possible. Which solution should they use?

Options:

BigQuery ML

Custom training

Pre-trainedAPIs

AutoML

Questions # 83:

An organization wants to analyze data in a data warehouse. How should they proceed?

Options:

Choose a system to store structured and semi-structured data that supports ad-hoc analysis and custom reporting.

Copy unstructured data into a single large object store.

Ensure data is stored in structured tables and rows to support transactional queries and relationships.

Import data into a semi-structured time-series database.

Questions # 84:

An organization recently launched a virtual customer support agent, generating vast amounts of text and speech data.

Why should they use a cloud data warehouse to interpret this data?

Options:

To natively visualize both types of data using a dashboard in real time

To ingest and analyze structured and unstructured data at scale, in real time

To secure data transmission between cloud and on-premises environments

To transform data from structured to unstructured

Questions # 85:

Your team is publishing research results and needs to make large amounts of data available to other researchers within the professional community and the public at minimum cost.

How should you host the data?

Options:

Use a Cloud Storage bucket and enable "Requester Pays.'

Use a Cloud Storage bucket and provide Signed URLs for the data files.

Use a Cloud Storage bucket and set up a Cloud Interconnect connection to allow access to the data.

Host the data on-premises. and set up a Cloud Interconnect connection to allow access to the data.

Questions # 86:

What are the network requirements for Private Google Access?

Options:

Private Google Access automatically enables any API.

Your network must have appropriate routes for the destination IP ranges used by Google APIs and services.

Both A and B

None of the Above

Questions # 87:

Which of the following NIST Cloud characteristics uses the business model of shared re-sources in a cloud environment?

Options:

Elasticity

Availability

Broad Network Access

Multi-Tenancy

Questions # 88:

As your organization increases its release velocity, the VM-based application upgrades take a long time to perform rolling updates due to OS boot times. You need to make the application deployments faster.

What should your organization do?

Options:

Migrate your VMs to the cloud, and add more resources to them

Convert your applications into containers

Increase the resources of your VMs

Automate your upgrade rollouts

Questions # 89:

Your company provides car maintenance services. It is conducting an internal hackathon to identify new ideas that could expand their business. The teams have pitched different ideas and have started working on it. They have to present their application to the judges within 48 hours. A presentation alone is not enough; they have to demonstrate a working proof of concept. The team that you are mentoring is going to recommend additional ser-vices to drive in customers based on the brand of car they drive in. They need to be able to identify what brand of car the customer has, based on a photograph automatically taken at entry. They have already discovered an open source database of car images collected by online enthusiasts. How should they implement this solution?

Options:

Use Deep Learning Containers that are preconfigured and optimized containers for deep learning environments.

Use AutoML Image - upload the images and let it create a working model for you.

Use TensorFlow to create a model that will identify the car brands; use the available data to train the model.

Use Cloud Vision AI that is able to detect logos. Write only the code to integrate in-to your workflow.

Questions # 90:

Your multinational organization has servers running mission-critical workloads on its premises around the world. You want to be able to manage these workloads consistently and centrally, and you want to stop managing infrastructure.

What should your organization do?