Practical Google Cloud-Digital-Leader Free Exam Online

NEW QUESTION 1

Your organization is developing an application that will manage payments and online bank accounts located around the world. The most critical requirement for your database is that each transaction is handled consistently. Your organization anticipates almost unlimited growth in the amount of data stored.
Which Google Cloud product should your organization choose?

• A. Cloud SQL
• B. Cloud Storage
• C. Firestore
• D. Cloud Spanner

Answer: D

Explanation:
Features of Cloud Spanner
Reference: https://k21academy.com/google-cloud/cloud-sql-vs-cloud-spanner/

NEW QUESTION 2

Your organization needs to categorize objects in a large group of static images using machine learning. Which Google Cloud product or service should your organization use?

• A. BigQuery ML
• B. AutoML Video Intelligence
• C. Cloud Vision API
• D. AutoML Tables

Answer: C

Explanation:

Reference: https://cloud.google.com/vision
Derive insights from your images in the cloud or at the edge with AutoML Vision or use pre- trained Vision API models to detect emotion, understand text, and more.
Vision API offers powerful pre-trained machine learning models through REST and RPC APIs. Assign labels to images and quickly classify them into millions of predefined categories. Detect objects and faces, read printed and handwritten text, and build valuable metadata into your image catalog.

NEW QUESTION 3

Which of the following statements is/are true about Google Cloud BigTable?

• A. It is not compatible with Hadoop.
• B. It Scales from Giga Byte to Peta Byte with No Downtime.
• C. It can not be used in Real-time Ad analytics and tracking thousands of IoT Devices Data.
• D. It is an enterprise-level Database that offers relational and non-relational features

Answer: B

Explanation:
Cloud Bigtable
A fully managed, scalable NoSQL database service for large analytical and operational workloads with up to 99.999% availability.
- Consistent sub-10ms latency—handle millions of requests per second
- Ideal for use cases such as personalization, ad tech, fintech, digital media, and IoT
- Seamlessly scale to match your storage needs; no downtime during reconfiguration
- Designed with a storage engine for machine learning applications leading to better predictions
- Easily connect to Google Cloud services such as BigQuery or the Apache ecosystem

NEW QUESTION 4

An organization wants to use Apigee to manage all their application programming interfaces (APIs).
What will Apigee enable the organization to do?

• A. Increase application privacy
• B. Measure and track API performance Most Voted
• C. Analyze application development speed
• D. Market and sell APIs

Answer: B

Explanation:
Apigee's API Monitoring enables you to track your APIs to make sure they are up and running correctly. API Monitoring provides near real-time insights into API traffic and performance, to help you quickly diagnose and solve issues as they arise.
Apigee works with APIs not necessarily applications. It allows organizations to gain actionable insights across the entire API value chain and monetize API products and maximize the business value of digital assets. https://cloud.google.com/apigee#section-11

NEW QUESTION 5

An e-commerce organization is reviewing their cloud data storage.
What type of raw data can they store in a relational database without any processing?

• A. Product inventory
• B. Product photographs
• C. Instructional videos
• D. Customer chat history

Answer: A

NEW QUESTION 6

What is a key difference between VMs and containers?

• A. Virtual Machines take less time to launch; containers take longer to launch.
• B. Virtual Machines can only run Linux; containers can run any operating system.
• C. Virtual Machines use a shared operating system and are therefore lighter; containers are heavier on resources.
• D. Each Virtual Machine in a machine has its own operating system; containers will share the same operating system.

Answer: D

Explanation:
VMs have their individual OSs. All containers on a node use the host operating system.

NEW QUESTION 7

Your company needs to segment Google Cloud resources used by each team from the others. The teams’ efforts are changing frequently, and you need to reduce operational risk and maintain cost visibility. Which approach does Google recommend?

• A. One project per team.
• B. One organization per team.
• C. One project that contains all of each team's resources.
• D. One top-level folder per team.

Answer: A

Explanation:

Reference: https://cloud.google.com/security/infrastructure/design
The Teams need to segmented to have visibility on the resources each team consumes

NEW QUESTION 8

An organization wants to move from a tactical cloud adoption approach to a transformational approach.
How should they adapt the way they lead the organization?

• A. Increase top-down visibility and foster a culture of blamelessness
• B. Shift from an operational expenditure model to capital expenditure
• C. Drive cloud adoption with an individual contributor focus
• D. Invest in on-premises infrastructure to redesign relationships between IT and employees

Answer: A

NEW QUESTION 9

Your company has made plans to roll out OpenShift, a Kubernetes platform solution offered by IBM Red Hat, across all its on-premises and public cloud environments. Given that you are the lead architect responsible for your company's GCP deployments, what type of shared responsibility model will this deployment entail for you?

• A. SaaS
• B. On premises
• C. PaaS
• D. IaaS

Answer: D

Explanation:
The key to remember here is that for a service provided (GCP in this case) to take responsibility for its PaaS, it must offer the service as a managed service. GCP offers its own Kubernetes platform called GKE. But OpenShift is not a Google-offered PaaS solution. As such, Google will not take responsibility for the back-end operations and design of your OpenShift environments. You will need to manage all the VMs that OpenShift will provision as part of its GCP deployment. So this is an IaaS deployment from a shared responsibility model perspective.

NEW QUESTION 10

An organization is training a machine learning model to predict extreme weather events in their country.
How should they collect data to maximize prediction accuracy?

• A. Collect all weather data evenly across all cities
• B. Collect all weather data primarily from at-risk cities
• C. Collect extreme weather data evenly across all cities
• D. Collect extreme weather data primarily from at-risk cities

Answer: A

Explanation:
Collect all weather data evenly across all cities. Mainly because it seems that the emphasis for data collection for ML is to make sure there are no holes in your data collection.

NEW QUESTION 11

What does Cloud Debugger help an organization do?

• A. Implement code updates in real time without affecting the service level objective (SLO).
• B. Inspect source code in real time without affecting user downtime.
• C. Manage code and accelerate application development.
• D. Analyze live source code during user downtime.

Answer: B

Explanation:
Cloud Debugger is a feature of Google Cloud Platform that lets you inspect the state of an application, at any code location, without stopping or slowing down the
running app. Cloud Debugger makes it easier to view the application state without adding logging statements.

NEW QUESTION 12

Your organization wants to migrate your on-premises environment to Google Cloud. The on-premises environment consists of containers and virtual machine instances. Which Google Cloud products can help to migrate the container images and the virtual machine disks?

• A. Compute Engine and Filestore
• B. Artifact Registry and Cloud Storage
• C. Dataflow and BigQuery
• D. Pub/Sub and Cloud Storage

Answer: A

Explanation:

Reference: https://cloud.google.com/compute/docs/import/importing-virtual-disks
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NEW QUESTION 13

An organization needs to migrate specialized workloads to the cloud while maintaining their
existing complex licensing and architecture.
What Google Cloud solution should the organization use?

• A. Compute Engine
• B. Bare Metal Solution
• C. Cloud Run
• D. Cloud Functions

Answer: B

Explanation:
“This solution provides a path to modernize your application infrastructure landscape, while maintaining your existing investments and architecture. With Bare Metal Solution, you can bring your specialized workloads to Google Cloud, allowing you access and integration with GCP services with minimal latency.”

NEW QUESTION 14

Your organization wants to be sure that is expenditures on cloud services are in line with the budget. Which two Google Cloud cost management features help your organization gain greater visibility into its cloud resource costs? (Choose two.)

• A. Billing dashboards
• B. Resource labels
• C. Sustained use discounts
• D. Financial governance policies
• E. Payments profile

Answer: AB

Explanation:


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A label is a key-value pair that helps you organize your Google Cloud resources. You can attach a label to each resource, then filter the resources based on their labels. Information about labels is forwarded to the billing system, so you can break down your billed charges by label.
Reference link- https://cloud.google.com/cost-management

NEW QUESTION 15

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?

• A. Data field
• B. Data lake
• C. Database
• D. Data warehouse

Answer: B

Explanation:
A data lake can store all types of data with no fixed limitation on account size or file and with no specific purpose defined yet. The data comes from disparate sources and can be structured, semi-structured, or even unstructured. Data-lake data can be queried as needed.
https://cloud.google.com/learn/what-is-a-data-lake
A data lake is a centralized repository designed to store, process, and secure large amounts of structured, semistructured, and unstructured data. It can store data in its native
format and process any variety of it, ignoring size limits.

NEW QUESTION 16
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