GOOGLE CLOUD-DIGITAL-LEADER LATEST BRAINDUMPS FREE, EXAM CLOUD-DIGITAL-LEADER SIMULATOR ONLINE

Google Cloud-Digital-Leader Latest Braindumps Free, Exam Cloud-Digital-Leader Simulator Online

Google Cloud-Digital-Leader Latest Braindumps Free, Exam Cloud-Digital-Leader Simulator Online

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Google Cloud Digital Leader practice dumps & Cloud-Digital-Leader exam dumps

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Google Cloud Digital Leader Sample Questions (Q246-Q251):

NEW QUESTION # 246
What is an example of unstructured data?

  • A. Historical stock inventory
  • B. Call center transcripts
  • C. Customer orders
  • D. Product ratings

Answer: B


NEW QUESTION # 247
A manufacturing organization has a large collection of images labeled as intact or defective parts. They want to use this data to build a simple solution to detect faulty parts on their production line. They have no data science expertise. Which solution should they use?

  • A. Document Al
  • B. Discovery Al for Retail
  • C. AutoML
  • D. Pre-trainedAPIs

Answer: C

Explanation:
The correct answer is D. AutoML. Here's why:
Context of the Questio n : The organization wants to build a solution to detect faulty parts on a production line using a large collection of labeled images (intact or defective parts). They do not have data science expertise, so they need a tool that simplifies the machine learning process.
Google Cloud Product Relevance:
AutoML is a suite of machine learning products that allows users to build custom models easily without needing deep expertise in machine learning or data science. It is designed to simplify the process of training, evaluating, and deploying models, especially in cases like image recognition where labeled datasets are already available.
AutoML Vision, a part of AutoML, would be ideal for this use case as it specifically handles image classification and can easily differentiate between intact and defective parts.
Why Not Other Options:
A . Discovery AI for Retail: This is a solution tailored for retail use cases like product discovery and search optimization, not for manufacturing defect detection.
B . Pre-trained APIs: While pre-trained APIs (like Vision API) can recognize general image patterns, they may not be specific enough for a custom use case like detecting defective parts.
C . Document AI: This service is designed for understanding and processing documents, not for analyzing images.
Google Cloud Digital Leader Reference:
For more information on AutoML, refer to the AutoML Vision documentation.


NEW QUESTION # 248
Your organization wants an economical solution to store data such as files, graphical images, and videos and to access and share them securely.
Which Google Cloud product or service should your organization use?

  • A. Cloud Spanner
  • B. BigQuery
  • C. Cloud Storage
  • D. Cloud SQL

Answer: C

Explanation:
Explanation
- Google Storage is GCP's version of AWS Simple Storage Service (S3) and an S3 bucket would be equivalent to a Google Storage bucket across the two clouds Text Description automatically generated


NEW QUESTION # 249
Your organization meant to purchase a 3-year Committed Use Discount, but accidentally purchased a 1-year Committed Use Discount instead. What should your organization do?

  • A. Contact Technical Support.
  • B. Contact Cloud Billing Support.
  • C. Contact Trust and Safety.
  • D. Contact your financial institution.

Answer: B

Explanation:

https://cloud.google.com/compute/docs/instances/signing-up-committed-use-discounts


NEW QUESTION # 250
Customer Managed Encryption Keys (CMEK) can be used for encrypting data inside Cloud BigTable, which of the following statements is/are correct. (Select two answer)

  • A. You can not use the same CMEK key in multiple projects
  • B. Not supported for instances that have clustered in more than one region.
  • C. Administrators can not rotate
  • D. CMEK can only be configured at the cluster level.

Answer: B,D

Explanation:
Customer-managed encryption keys for Cloud BigTable.
By default, all the data at rest in Cloud Bigtable is encrypted using Google's default encryption. Bigtable handles and manages this encryption for you without any additional action on your part.
If you have specific compliance or regulatory requirements related to the keys that protect your data, you can use customer-managed encryption keys (CMEK) for BigTable. Instead of Google managing the encryption keys that protect your data, your BigTable instance is protected using a key that you control and manage in Cloud Key Management Service (Cloud KMS).
Features
Security: CMEK provides the same level of security as Google's default encryption but provides more administrative control.
Data access control: Administrators can rotate, manage access to, and disable or destroy the key used to protect data at rest in BigTable .
Auditability: All actions on your CMEK keys are logged and viewable in Cloud Logging.
Comparable performance: BigTable CMEK-protected instances offer comparable performance to BigTable instances that use Google default encryption.
Flexibility: You can use the same CMEK key in multiple projects or instances or you can use separate keys, depending on your business needs.


NEW QUESTION # 251
......

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