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What is monitoring within the context of cloud operations?

A.
Observing cloud expenditure in real time to ensure that budgets are not exceeded
A.
Observing cloud expenditure in real time to ensure that budgets are not exceeded
Answers
B.
Collecting predefined and custom metrics from applications and infrastructure
B.
Collecting predefined and custom metrics from applications and infrastructure
Answers
C.
Tracking user activities to guarantee compliance with privacy regulations
C.
Tracking user activities to guarantee compliance with privacy regulations
Answers
D.
Tracing user location to document regional access and utilization
D.
Tracing user location to document regional access and utilization
Answers
Suggested answer: B

An organization notices that some of their cloud expenditures are too high.

What should the organization do to control costs?

A.
Streamline the hardware procurement process to reduce costs.
A.
Streamline the hardware procurement process to reduce costs.
Answers
B.
Share cost views with the departments to establish more accountability.
B.
Share cost views with the departments to establish more accountability.
Answers
C.
Change the cost model from operational expenditure to capital expenditure.
C.
Change the cost model from operational expenditure to capital expenditure.
Answers
D.
Ensure that all could resources are tagged with a single tag.
D.
Ensure that all could resources are tagged with a single tag.
Answers
Suggested answer: B

An organization needs to migrate specialized workloads to the cloud while maintaining their existing complex licensing and architecture.

What Google Cloud solution should the organization use?

A.
Compute Engine
A.
Compute Engine
Answers
B.
Bare Metal Solution
B.
Bare Metal Solution
Answers
C.
Cloud Run
C.
Cloud Run
Answers
D.
Cloud Functions
D.
Cloud Functions
Answers
Suggested answer: B

Explanation:

"This solution provides a path to modernize your application infrastructure landscape, while maintaining your existing investments and architecture. With Bare Metal Solution, you can bring your specialized workloads to Google Cloud, allowing you access and integration with GCP services with minimal latency."

How would a global organization benefit from managing their data with Cloud Spanner?

A.
Cloud Spanner is optimized for cold storage
A.
Cloud Spanner is optimized for cold storage
Answers
B.
Cloud Spanner replicates data across regions in real time
B.
Cloud Spanner replicates data across regions in real time
Answers
C.
Cloud Spanner is optimized to ingest unstructured data
C.
Cloud Spanner is optimized to ingest unstructured data
Answers
D.
Cloud Spanner visualizes and analyzes data in real time
D.
Cloud Spanner visualizes and analyzes data in real time
Answers
Suggested answer: B

Explanation:

Spanner is Google's scalable, multi-version, globally-distributed, and synchronously-replicated database.

How would an organization benefit from using Looker?

A.
Optimal identity and access management
A.
Optimal identity and access management
Answers
B.
Leading serverless warehousing technology
B.
Leading serverless warehousing technology
Answers
C.
Robust data roll-back accuracy
C.
Robust data roll-back accuracy
Answers
D.
Advanced business intelligence and analytics
D.
Advanced business intelligence and analytics
Answers
Suggested answer: D

Explanation:

Looker is a business intelligence software and big data analytics platform that helps you explore, analyze and share real-time business analytics easily.

An organization needs to store structured, semi-structured, and unstructured data in its raw, native format in the same repository.

Which cloud data management solution should the organization use?

A.
Data field
A.
Data field
Answers
B.
Data lake
B.
Data lake
Answers
C.
Database
C.
Database
Answers
D.
Data warehouse
D.
Data warehouse
Answers
Suggested answer: B

Explanation:

A data lake can store all types of data with no fixed limitation on account size or file and with no specific purpose defined yet. The data comes from disparate sources and can be structured, semistructured, or even unstructured. Data-lake data can be queried as needed.

https://cloud.google.com/learn/what-is-a-data-lake

A data lake is a centralized repository designed to store, process, and secure large amounts of structured, semistructured, and unstructured data. It can store data in its native format and process any variety of it, ignoring size limits.

An organization wants to leverage tooling and automation as part of its new DevOps philosophy.

Which operational challenge will this resolve?

A.
Repetitive manual tasks that hinder workflows
A.
Repetitive manual tasks that hinder workflows
Answers
B.
Time-consuming supervision of creative tasks
B.
Time-consuming supervision of creative tasks
Answers
C.
Distribution and supply-chain issues
C.
Distribution and supply-chain issues
Answers
D.
Defective technical equipment that limits innovation
D.
Defective technical equipment that limits innovation
Answers
Suggested answer: A

An organization recently launched a virtual customer support agent, generating vast amounts of text and speech data.

Why should they use a cloud data warehouse to interpret this data?

A.
To natively visualize both types of data using a dashboard in real time
A.
To natively visualize both types of data using a dashboard in real time
Answers
B.
To ingest and analyze structured and unstructured data at scale, in real time
B.
To ingest and analyze structured and unstructured data at scale, in real time
Answers
C.
To secure data transmission between cloud and on-premises environments
C.
To secure data transmission between cloud and on-premises environments
Answers
D.
To transform data from structured to unstructured
D.
To transform data from structured to unstructured
Answers
Suggested answer: B

Explanation:

Real-time data ingestion and updates. A simple and universal solution for continually ingesting your enterprise data into popular cloud-based data warehouses in real time.

https://www.qlik.com/us/cloud-data-migration/cloud-data-warehouse

How does Cloud SQL help organizations create business insights?

A.
Integrates with business intelligence and analytics platforms
A.
Integrates with business intelligence and analytics platforms
Answers
B.
Generates predictions using machine learning models
B.
Generates predictions using machine learning models
Answers
C.
Generates real-time charts and intelligent analytics
C.
Generates real-time charts and intelligent analytics
Answers
D.
Transforms business data from unstructured to structured
D.
Transforms business data from unstructured to structured
Answers
Suggested answer: A

Explanation:

https://cloud.google.com/sql/docs/postgres/using-query-insights

What is logging within the context of cloud technology?

A.
Writing application and operating system events as text
A.
Writing application and operating system events as text
Answers
B.
Monitoring network and resource limitations
B.
Monitoring network and resource limitations
Answers
C.
Tracking source code across an organization
C.
Tracking source code across an organization
Answers
D.
Recording infrastructure and hardware expenditure
D.
Recording infrastructure and hardware expenditure
Answers
Suggested answer: A

Explanation:

Cloud Logging is a fully managed service that allows you to store, search, analyze, monitor, and alert on logging data and events from Google Cloud and Amazon Web Services

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