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Free CLOUD-DIGITAL-LEADER Exam Braindumps (page: 29)

Page 28 of 104
PDF with 411 Questions

What are the network requirements for Private Google Access?

  1. Private Google Access automatically enables any API.
  2. Your network must have appropriate routes for the destination IP ranges used by Google APIs and services.
  3. Both A and B
  4. None of the Above

Answer(s): B

Explanation:

Network requirements for Private Google Access:

- Because Private Google Access is enabled on a per-subnet basis, you must use a VPC network. Legacy networks are not supported because they don't support subnets.
- Private Google Access does not automatically enable any API. You must separately enable the Google APIs you need to use via the APIs & services page in the Google Cloud Console.
- If you use the private.googleapis.com or the restricted.googleapis.com domain names, you'll need to create DNS records to direct traffic to the IP addresses associated with those domains.
- Your network must have appropriate routes for the destination IP ranges used by Google APIs and services. These routes must use the default internet gateway next hop. If you use the private.googleapis.com or the restricted.googleapis.com domain names, you only need one route (per domain). Otherwise, you'll need to create multiple routes.
- Egress firewalls must permit traffic to the IP address ranges used by Google APIs and services. The implied allow egress firewall rule satisfies this requirement. For other ways to meet the firewall requirement.



A fitness band company is continuously ingesting data from millions of its consumers. Different kinds of data based on time, like location, heartbeat rate, temperature, movement, etc. are connect-ed.

They need a high throughput database that can write data very fast. Since their users are spread across the world, they need the database to be geographically scalable. Consumers also want to see near-real-time visualizations of their activities.
Which of these databases would be a good fit?

  1. Cloud SQL
  2. Bigtable
  3. Spanner
  4. Firestore

Answer(s): B

Explanation:

Bigtable is the best suited for time series data. It also has high read-write throughput and ability to scale globally.



Your team is working on building a machine learning model. There are a bunch of terminologies that are being used.
What is an "instance" or an "example"?

  1. An input variable is used in making predictions. E.g. number of rooms in a house price prediction model.
  2. One row of a dataset containing one or more input columns and possibly a prediction result.
  3. An answer for a prediction task,¬ either the answer produced by a machine learning system or the right answer supplied in training data. E.g. image contains a "cat".
  4. The "knobs" that you tweak during successive runs of training a model. E.g. learning rate

Answer(s): B

Explanation:

One row of a dataset containing one or more input columns and possibly a prediction result.



https://developers.google.com/machine-learning/guides/rules-of-ml#terminology



A retail store has discovered a cost-effective solution for creating self-service kiosks. They can use existing check-out hardware and purchase a virtual customer service application.
Why do they also need an API?

  1. To connect the check-out hardware to the public cloud.
  2. To connect the new application with the legacy system.
  3. To migrate all customer data for disaster recovery.
  4. To update the check-out hardware remotely.

Answer(s): B

Explanation:

APIs can create new business value by connecting legacy systems (the checkout hardware) with new software (the virtual customer service application).






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