CDL practice questions 131–140

1. Question 131 · 288 in bank

   An organization wants to leverage cloud technologies but is concerned about vendor lock-in. What would mitigate this concern?

   • AOpen standards
   • BDatabase services
   • CService level agreements
   • DScalable infrastructure

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   Answer: A

   Explanation

   A: Use Open Standards and Technologies Adopting open standards and technologies ensures that the organization's systems and data can be easily ported to different platforms. This includes using open-source software, open APIs, and standard protocols that are universally supported across cloud providers.

   Source: Adapted from community discussion — Vivek007

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2. Question 132 · 288 in bank

   An organization must identify and fix security vulnerabilities in its cloud infrastructure and applications. Which Google Cloud service should they use?

   • ASecurity Command Center
   • BGoogle Cloud Armor
   • CCloud Storage
   • DVPC networks

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   Answer: A

   Explanation

   A: Security Command Center is Google Cloud's comprehensive security and risk management tool. It provides security analytics, vulnerability scanning, and threat detection to help organizations secure their cloud infrastructure, applications, and data. The Security Command Center enables visibility across the organization's assets in the cloud, identifies vulnerabilities and misconfigurations, and recommends corrective actions to enhance security. This tool is particularly valuable for continuous monitoring, compliance reporting, and gaining insights into potential security threats.

   Source: Adapted from community discussion — Vivek007

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3. Question 133 · 288 in bank

   A cinema company wants to build a model to predict customer visit patterns for the coming year. They have three years of customer visit data across 300 theaters; however, the data has been stored in different formats by different theaters. They must train the ML model. What should they do?

   • AUse the last year of data so there are fewer inconsistencies for the model to handle.
   • BTransform the data into a consistent format.
   • CGroup different format types and train a different model for each group.
   • DChoose an ML model type that can process different formats of input data.

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   Answer: B

   Explanation

   B: Data Consistency: Before any effective machine learning modeling can occur, it is crucial that the data used is consistent and standardized. This means transforming all the data collected from different theaters into a uniform format. This process, often called data cleaning or preprocessing, ensures that the machine learning model has reliable and comparable input data across all samples, leading to more accurate and meaningful predictions.

   Source: Adapted from community discussion — Vivek007

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4. Question 134 · 288 in bank

   Within Google’s Site Reliability Engineering framework, which concept measures how well a system is performing?

   • AService-level agreement
   • BService-level indicator
   • CError reporting
   • DService-level objective

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   Answer: B

   Explanation

   B: Service-Level Indicator (SLI): An SLI is a carefully defined quantitative measure of some aspect of the level of service that is provided. Most often, an SLI is a metric or combination of metrics that directly reflect the performance, reliability, and overall health of a system. Common examples include uptime, response time, latency, error rates, and throughput. SLIs are used to objectively measure how effectively a service is meeting desired performance standards.

   Source: Adapted from community discussion — Vivek007

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5. Question 135 · 288 in bank

   Your organization is building an application running in Google Cloud. Currently, software builds, tests, and regular deployments are done manually, but you want to reduce work for the team. Your organization wants to use Google Cloud managed solutions to automate your build, testing, and deployment process. Which Google Cloud product or feature should your organization use?

   • ACloud Scheduler
   • BCloud Code
   • CCloud Build
   • DCloud Deployment Manager

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   Answer: C

   Explanation

   Cloud Build is a fully managed CI/CD platform that automates the build, test, and deployment of your applications. It provides a reliable and scalable infrastructure to compile source code, run unit tests, and package artifacts for deployment. Cloud Build integrates with popular source code repositories like GitHub and Bitbucket, allowing you to trigger builds automatically on code changes or schedules.

   Source: Adapted from community discussion — cookieMr

   References

   • Google Cloud documentation

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6. Question 136 · 288 in bank

   What is the typical cloud spending behavior of most organizations?

   • ADecentralized and variable
   • BCentralized and variable
   • CDecentralized and fixed
   • DCentralized and fixed

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   Answer: A

   Explanation

   A: Decentralized and Variable: Cloud spending in many organizations tends to be decentralized and variable due to the nature of cloud services. Decentralized because different departments or teams within an organization often have the autonomy to procure and manage their own cloud resources based on their specific needs. Variable because cloud costs are typically based on usage (pay-as-you-go pricing models), which means spending fluctuates based on how much compute, storage, and network resources are consumed over time.

   Source: Adapted from community discussion — Vivek007

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7. Question 137 · 288 in bank

   An organization is developing a new container-based application. They do not know how popular the application will be when launched and they do not want to pay for idle infrastructure resources. Which benefit of serverless computing will address this concern?

   • ADisaster recovery
   • BReduced development costs
   • CScalability
   • DBuilt-in security

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   Answer: C

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8. Question 138 · 288 in bank

   How does the resource hierarchy in Google Cloud help organizations implement security policies?

   • APolicies can be applied at the folder level and are inherited by projects inside the folder.
   • BProjects in the resource hierarchy are not affected by security policies.
   • CPolicies can only be applied at the organization level and affect all projects.
   • DPolicies can only be applied to individual projects.

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   Answer: A

   Explanation

   A: Inheritance in the Resource Hierarchy: In Google Cloud's resource hierarchy, security policies can be applied at various levels, including the organization, folder, and project levels. A key aspect of this hierarchy is the inheritance of policies. When a policy is applied at the folder level, all projects and resources within that folder automatically inherit the policy. This feature simplifies security management by allowing organizations to apply broad policies at higher levels (like folders) and have them cascade down to all contained resources and projects. This hierarchical policy management ensures that all underlying resources comply with the organization's security protocols without the need to configure each project individually.

   Source: Adapted from community discussion — Vivek007

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9. Question 139 · 288 in bank

   An organization is considering the use of managed services when migrating to the cloud. Which routine tasks are typically provided automatically by a managed services platform?

   • AManaging user access
   • BPatching and upgrades
   • CData archiving
   • DCost optimization

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   Answer: B

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10. Question 140 · 288 in bank

    An organization has recently completed a migration from on-premises to Google Cloud. How has cost management been affected?

    • ACosts will primarily shift from CapEx to OpEx.
    • BCosts will primarily shift from OpEx to CapEx.
    • CCost management will stay the same, but the total cost of ownership (TCO) will be lower.
    • DCost management will stay the same, but the total cost of ownership (TCO) will be higher.

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    Answer: A

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CDL practice, question 131. 288 questions available.