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Free CLOUD-DIGITAL-LEADER Exam Braindumps (page: 35)

Page 34 of 104
PDF with 411 Questions

What is a key difference between VMs and containers?

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

Answer(s): D

Explanation:

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



In discussions with a prospective customer who wants to move to Google Cloud to make use of the latest, scalable technologies available therein, you learn that there are very strict regulations concern-ing the storage of dat

  1. They only have the approval to store it in their current private data cen-ter.
    What would you advise them?
  2. Retain on-premise itself those portions of data and compute which are under regulation. Take advantage of all the other cloud capabilities for remaining work-loads.
  3. It is too risky to touch anything in such a scenario. It is best to remain entirely on-premise.
  4. Regulations are guidelines. As long as the data remains encrypted, you can move it anywhere.
  5. Petition the government for changes to such regulations as all industries are mov-ing to the public cloud. Then, when the regulations are eased, move to Google Cloud.

Answer(s): A

Explanation:

Moving to Google Cloud is not an all-or-nothing option. Certain workloads can continue to remain on-premise while the predominant chunk moves to Google Cloud



Which of the followings are core components of Anthos?

  1. Infrastructure, container, and cluster management
  2. Secure software supply chain
  3. Multicluster & Configuration management
  4. All of the above are correct.

Answer(s): D

Explanation:



When creating machine learning models, a key initial step is to identify the type of model required. One of these is the classification model.
Which of these statements define a classification model?

  1. A type of machine learning model for distinguishing among two or more discrete values. E.g.
    "book", "car".
  2. A type of machine learning model is a meta-model maker, which classifies algo-rithms based on the quality of their output.
  3. A type of machine learning model that outputs continuous (typically, floating-point) values. E.g.
    the predicted price of the house is $120,000.
  4. A type of classic model approach that is less used today and which has been re-placed by the regression model.

Answer(s): A

Explanation:

A classification model classifies the incoming data into one or more discrete classes.






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