CDL practice questions 141–150

1. Question 141 · 288 in bank

   An organization wants to access a software application from a cloud vendor without the need to manage their own servers or write their own code. Which service model does this represent?

   • AInfrastructure as a service
   • BPlatform as a service
   • CSoftware as a service
   • DFunctions as a service

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   Answer: C

   Explanation

   C. Software as a service (SaaS). Software as a Service (SaaS) provides fully managed software applications that users can access directly over the internet, without the need to manage servers, infrastructure, or write code. The cloud vendor takes care of everything, including updates, security, and maintenance. Examples include Gmail, Microsoft 365, and Salesforce.

   Source: Adapted from community discussion — joshnort

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2. Question 142 · 288 in bank

   An organization wants to build a data pipeline to transform its data so it can be reconciled in a data warehouse. The solution must be scalable and require little or no management. Which Google product or service should the organization choose?

   • ACloud Bigtable
   • BCloud Storage
   • CPub/Sub
   • DDataflow

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   Answer: D

   Explanation

   D: Google Cloud Dataflow is a fully-managed service designed to simplify the tasks of processing large amounts of data in both batch and stream modes. Dataflow is especially suited for data integration and ETL (extract, transform, load) tasks, making it ideal for preparing data for a data warehouse. It is built on Apache Beam, providing a unified programming model to define data processing pipelines. The scalable nature of Dataflow means it can adjust resource allocation dynamically based on the workload, and its managed service ensures that the overhead of managing server infrastructure is minimal.

   Source: Adapted from community discussion — Vivek007

   References

   • Google Cloud documentation

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3. Question 143 · 288 in bank

   When is data automatically encrypted in Google Cloud?

   • AWhen it is in transit only,
   • BWhen it is at rest and in transit.
   • CData is not automatically encrypted by default.
   • DWhen it is at rest only.

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   Answer: B

   Explanation

   B: Automatic Encryption in Google Cloud: Google Cloud automatically encrypts data both when it is at rest and in transit. This means that: At Rest: Data stored on disk in Google Cloud services, including but not limited to Google Cloud Storage, Compute Engine, and BigQuery, is encrypted before it is written to disk and decrypted when accessed. In Transit: Data moving between user devices and Google data centers, as well as data moving within Google's network between data centers, is encrypted. This encryption protects data as it travels over the internet, ensuring that sensitive information is securely transmitted.

   Source: Adapted from community discussion — Vivek007

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4. Question 144 · 288 in bank

   An organization must verify the identity of a user seeking access to a system. Which aspect of cloud identity management does this action describe?

   • AAuthorization
   • BAuthentication
   • CAuditing
   • DEncrypting

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   Answer: B

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5. Question 145 · 288 in bank

   An organization is running Kubernetes applications across multiple cloud environments. They want a consistent and centralized management platform. Which service should they choose?

   • ACloud Functions
   • BGKE Enterprise
   • CCloud Run
   • DCompute Engine

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   Answer: B

   Explanation

   B: GKE Enterprise, also known as Anthos GKE or just Anthos, is a platform designed to enable the deployment and management of applications across various cloud environments, including both Google Cloud and other public or private clouds. Anthos provides a unified management interface that simplifies the operation of Kubernetes clusters across different environments, ensuring consistency, compliance, and security are maintained across the board.

   Source: Adapted from community discussion — Vivek007

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6. Question 146 · 288 in bank

   Which Google Cloud product can report on and maintain compliance on your entire Google Cloud organization to cover multiple projects?

   • ACloud Logging
   • BIdentity and Access Management
   • CGoogle Cloud Armor
   • DSecurity Command Center

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   Answer: D

   Explanation

   Answer is D: SCC - Gain centralized visibility and control Discover misconfigurations and vulnerabilities Report on and maintain compliance Detect threats targeting your Google Cloud assets

   Source: Adapted from community discussion — SURJK

   References

   • Google Cloud documentation

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7. Question 147 · 288 in bank

   An organization wants to collect and store all logs generated by applications running in Google Cloud. Which service should they use?

   • ACloud Profiler
   • BCloud Monitoring
   • CCloud Trace
   • DCloud Logging

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   Answer: D

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8. Question 148 · 288 in bank

   What is the benefit of using a unified cloud data solution?

   • AData will always cost less to store.
   • BData can be automatically secured from external threats.
   • CData will always be backed up and cannot be lost or deleted.
   • DData can enable innovation because it's no longer siloed.

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   Answer: D

   Explanation

   D. Data can enable innovation because it's no longer siloed. A unified cloud data solution consolidates data from different sources into a single platform, which helps eliminate data silos. This allows organizations to access and analyze data more easily, fostering innovation, better decision-making, and more efficient operations. While the other options may be benefits in certain contexts, they are not guaranteed by a unified cloud data solution: - A: Data costs can vary based on the storage provider and volume, so it is not always cheaper. - B: While cloud providers offer security measures, automatic security from external threats is not always guaranteed. - C: Data is typically backed up, but it is not immune to loss or deletion in every case.

   Source: Adapted from community discussion — joshnort

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9. Question 149 · 288 in bank

   An organization stores its important industry data in a relational database. They want to create a new revenue stream by enabling third parties to use that data in their applications. Which cloud first approach should the organization choose?

   • AAdd third-party users to their database.
   • BOffer chargeable downloads of archived data.
   • CExpose data through a chargeable API.
   • DTransfer data into a non-relational database.

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   Answer: C

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10. Question 150 · 288 in bank

    Which scenario is a good use case for machine learning?

    • AClassifying data with no prior examples
    • BTasks that require human experience and intuition
    • CCreating customer recommendations
    • DSolving ethical dilemmas

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    Answer: C

    Explanation

    C. Creating customer recommendations. Machine learning is well-suited for tasks like creating customer recommendations. By analyzing large amounts of data (such as customer behavior, preferences, and past interactions), machine learning models can predict and suggest products or content that users are likely to be interested in. This is a common use case in e-commerce, streaming services, and social media platforms. The other options are not ideal use cases for machine learning: - A. Classifying data with no prior examples: Machine learning typically requires training on labeled data or prior examples to classify new data. - B. Tasks that require human experience and intuition: While machine learning can automate certain tasks, some tasks requiring nuanced human judgment and intuition are not easily replaced by algorithms. - D. Solving ethical dilemmas: Machine learning is not designed to handle complex ethical decision-making, which involves human values and context.

    Source: Adapted from community discussion — joshnort

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CDL practice, question 141. 288 questions available.