CDL practice questions 21–30

1. Question 21 · 288 in bank

   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?

   • ACompute Engine
   • BBare Metal Solution
   • CCloud Run
   • DCloud Functions

   Show answer

   Answer: B

   Explanation

   B. There are many workloads that are easy to lift and shift to the cloud, but there are also specialized workloads (such as Oracle) that are difficult to migrate to a cloud environment due to complicated licensing, hardware, and support requirements. Bare Metal Solution provides a path to modernize these applications.

   Source: Adapted from community discussion — joesatriani

   References

   • Google Cloud documentation
   • Google Cloud documentation

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2. Question 22 · 288 in bank

   An organization finds that the amount of cash in their vending machines doesn't match the value of items sold. They have decided to upgrade their vending machines with cloud-based mobile payment systems. How could the organization benefit from this upgrade?

   • AThey could relax data access permissions.
   • BThey could reduce their error budget overspend.
   • CThey could improve their perimeter security.
   • DThey could view data history to see transactions.

   Show answer

   Answer: D

   Explanation

   Answer = D explanation A) is not the answer as relaxing data access permission is not related to fixing the mismatches sale/transaction/value b) is not the answer as error budget has nothing to do with this the problem statement c) is not the answer as "perimeter security" is to control the communication between Google Cloud resources such as VMs within a zone. 4) directly relates to the problem statement where transaction history can be used to verify or identify the reason for mismatch in values

   Source: Adapted from community discussion — Emma412

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3. Question 23 · 288 in bank

   A food delivery service needs access to real-time menu information from all partner restaurants. They also need to share customer order information with the restaurants in real time. What should the organization use?

   • ASite reliability engineering (SRE)
   • BAn application programming interface (API)
   • CA customized machine learning model
   • DA multi-regional database

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   Answer: B

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4. Question 24 · 288 in bank

   Your company's development team is building an application that will be deployed on Cloud Run. You are designing a CI/CD pipeline so that any new version of the application can be deployed in the fewest number of steps possible using the CI/CD pipeline you are designing. You need to select a storage location for the images of the application after the CI part of your pipeline has built them. What should you do?

   • ACreate a Compute Engine image containing the application
   • BStore the images in Container Registry
   • CStore the images in Cloud Storage
   • DCreate a Compute Engine disk containing the application

   Show answer

   Answer: B

   Explanation

   B is correct but currently Google is promoting Artifact Registry over Container Registry. You may get that in the main exam MCQ.

   Source: Adapted from community discussion — __rajan__

   References

   • Google Cloud documentation
   • Google Cloud documentation

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5. Question 25 · 288 in bank

   An organization is planning to create many new applications and needs a system for managing and orchestrating their containers. Why should they use Google Kubernetes Engine?

   • AIt enables rapid application deployment and testing.
   • BIt optimizes virtual machine performance.
   • CIt connects legacy systems to an application.
   • DIt provides pre-written source code for application development.

   Show answer

   Answer: A

   Explanation

   Enable rapid application development and iteration by making it easy to deploy, update, and manage your applications and services. Configure GKE, Cloud Source Repositories, Cloud Build, and Spinnaker for Google Cloud services to automatically build, test, and deploy an app. https://cloud.google.com/kubernetes-engine

   Source: Adapted from community discussion — juangt

   References

   • Google Cloud documentation

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6. Question 26 · 288 in bank

   How does Google Cloud enable customers to leverage the power of artificial intelligence and machine learning?

   • AWith scalable on-premises tensor processing units
   • BWith APIs and tools for users at different levels of expertise
   • CWith affordable and scalable quantum computing
   • DWith machine learning models that always require custom training

   Show answer

   Answer: B

   Explanation

   https://cloudacademy.com/blog/what-are-the-benefits-of-machine-learning-in-the-cloud/ What are the Benefits of Machine Learning in the Cloud? The cloud makes intelligent capabilities accessible without requiring advanced skills in artificial intelligence or data science.

   Source: Adapted from community discussion — BryRob

   References

   • Google Cloud documentation
   • Google Cloud documentation

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7. Question 27 · 288 in bank

   An online retail organization wants to optimize their service. What is an example of unstructured data that they can use to make decisions?

   • ACustomer survey comments
   • BSeller location coordinates
   • CProduct sales trends
   • DWarehouse inventory records

   Show answer

   Answer: A

   Explanation

   Structured data: Basically, they are those that are ordered. For example in: An Excel table. Spreadsheets. Databases of any other type. Applications to carry out test-type questionnaires. Web forms. Standardized customer files. Surveys of users of a service. You will find them organized by a series of well-defined rows and columns. A is wrong answer

   Source: Adapted from community discussion — Haplo46

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8. Question 28 · 288 in bank

   An organization's public cloud provider failed to meet their SLA of 99.99% availability. What is the potential impact on the organization?

   • AThe organization risks using up their error budget.
   • BRenegotiation of the SLA to put less emphasis on uptime could be necessary.
   • CUnexpected downtime could risk the loss of customers.
   • DAll data stored in their database could be unexpectedly lost.

   Show answer

   Answer: C

   Explanation

   C. Unexpected downtime could risk the loss of customers. A service-level agreement (SLA) sets the expectations between the service provider and the customer and describes the products or services to be delivered, the single point of contact for end-user problems, and the metrics by which the effectiveness of the process is monitored and approved.

   Source: Adapted from community discussion — BryRob

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9. Question 29 · 288 in bank

   An organization needs to train a machine learning model to categorize photographs. Which Google Cloud product or service should the organization use?

   • AVideo Intelligence API
   • BAutoML Vision
   • CBigQuery ML
   • DLooker

   Show answer

   Answer: B

   Explanation

   A. Video Intelligence API - obviously video B. AutoML Vision - enables you to train machine learning models to classify your images according to your own defined labels C. BigQuery ML - this is using database D. Looker - easy to build insight-powered workflows and applications https://cloud.google.com/vision/automl/docs

   Source: Adapted from community discussion — BryRob

   References

   • Google Cloud documentation

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10. Question 30 · 288 in bank

    A multinational organization has decided to use public cloud services to modernize their IT infrastructure. What is one benefit of doing this?

    • AThey can perform hardware maintenance outside of normal business hours.
    • BThey can expect 100% service availability in all regions.
    • CBuilt-in security is no longer required during data migrations.
    • DAccess to data and computer resources is not tied to a geographical location.

    Show answer

    Answer: D

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CDL practice, question 21. 288 questions available.