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NEW QUESTION 21
Considering Google Cloud Storage different Options which of the following is / are correct on the basis of their real world use cases?

• A. Cloud SQL : User Credentials, customer orders.
• B. Cloud Storage : Images, Large Media, files , backups.
• C. All of the Above.
• D. Google Cloud BigTable : AdTech, Financial and IoT Data.

Answer: C

Explanation:
Cloud Datastore is the best for semi-structured application data that is used in app engines' applications. Bigtable is best for analytical data with heavy read/write events like AdTech, Financial or IoT data. Cloud Storage is best for structured and unstructured, binary or object data like images, large media files and backups. SQL is best for web frameworks and in existing applications like storing user credentials and customer orders. Cloud Spanner is best for large scale database applications that are larger than two terabytes; for example, for financial trading and e-commerce use cases. As I mentioned at the beginning of the module, depending on your application, you might use one or several of these services to get the job done.

NEW QUESTION 22
An IoT platform is providing services to home security systems. They have more than a million customers, each with many home devices. Burglaries or child safety issues are concerns that the clients customers. Therefore, the platform has to respond very quickly in near real time. What could be a typical data pipeline used to support this platform on Google Cloud?

• A. Cloud Functions, Cloud Dataproc, BigQuery
• B. Cloud Pub/Sub, Cloud Dataflow, BigQuery
• C. Cloud Pub/Sub, Cloud Dataflow, Data Studio
• D. Cloud Functions, Cloud Dataproc, Looker

Answer: C

Explanation:
=> Cloud Pub/Sub- Cloud Pub/Sub is the best to be the end-point for ingesting large amounts of data. It will grow as required, can stream data to downstream systems, and can also work with intermittently available backends.
=> Cloud Dataflow- supports streaming data and therefore is an appropriate option for processing the data that is ingested.
=> BigQuery- BigQuery also supports streaming data and its possible to do real time ana-lytics on it.
=> DataStudio- DataStudio and Looker are for visualization. They don't have any in-built analysis.
=> Cloud Functions- Cloud Functions is a useful serverless endpoint. However, Pub/Sub is better in this case because it can also retain messages for a set period if it was not possi-ble to deliver it first time.
=>Cloud Dataproc- Cloud Dataproc is used for Hadoop/Spark workloads and won't be a good fit here.

NEW QUESTION 23
An organization has completely migrated all their infrastructure to the cloud to benefit from its agility. Now they want to innovate faster and achieve a higher return on investment. What should the organization do?

• A. Lower their service level objective (SLO).
• B. Modernize their applications.
• C. Move to a hybrid architecture with some of their infrastructure on-premises.
• D. Manually provision all cloud infrastructure for increased control.

Answer: B

Explanation:
Because this will enable the business to better serve their users.

NEW QUESTION 24
Your organization wants to be sure that is expenditures on cloud services are in line with the budget. Which two Google Cloud cost management features help your organization gain greater visibility into its cloud resource costs? (Choose two.)

• A. Payments profile
• B. Billing dashboards
• C. Sustained use discounts
• D. Resource labels
• E. Financial governance policies

Answer: B,D

Explanation:

A label is a key-value pair that helps you organize your Google Cloud resources. You can attach a label to each resource, then filter the resources based on their labels. Information about labels is forwarded to the billing system, so you can break down your billed charges by label.
Reference link- https://cloud.google.com/cost-management

NEW QUESTION 25
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