- (Exam Topic 1)
Your organization runs a distributed application in the Compute Engine virtual machines. Your organization needs redundancy, but it also needs extremely fast communication (less than 10 milliseconds) between the parts of the application in different virtual machines.
Where should your organization locate this virtual machines?

1. A. In a single zone within a single region
2. B. In different zones within a single region
3. C. In multiple regions, using one zone per region
4. D. In multiple regions, using multiple zones per region

Correct Answer: B
Multi zone is also redundant within the region and it provides the lowest latency.
Reference link:
https://cloud.google.com/solutions/best-practices-compute-engine-region-selection

- (Exam Topic 2)
While on-premise, an enterprise had multiple teams, each with its own analytics data store. Attempts to converge the storage for centralized, company-wide analysis failed because of speed and scaling issues. What would be the preferred destination architecture on Google Cloud?

1. A. Migrate to Bigtable which provides high throughput reads and writes.
2. B. Migrate to Cloud Spanner as a globally scalable SQL database.
3. C. Migrate to BigQuery as a central data warehouse.
4. D. Migrate to Cloud SQL which supports multiple databases like MySQL, PostgreSQL, and SQL Server - all of the customer's SQL databases can be accommodated here.

Correct Answer: C
BigQuery is the data warehousing option on Google Cloud. Since the source data has already been used for analysis, it should easily fit the BigQuery structure too.

- (Exam Topic 1)
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. A. An input variable is used in making prediction
2. B. E.
3. C. number of rooms in a house price prediction model.
4. D. One row of a dataset containing one or more input columns and possibly a prediction result.
5. E. An answer for a prediction task,¬ either the answer produced by a machine learning system or the right answer supplied in training dat
6. F. E.
7. G. image contains a "cat".
8. H. The "knobs" that you tweak during successive runs of training a mode
9. I. E.
10. J. learning rate

Correct Answer: B
One row of a dataset containing one or more input columns and possibly a prediction result. A picture containing timeline Description automatically generated

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

- (Exam Topic 3)
How would a global organization benefit from managing their data with Cloud Spanner?

1. A. Cloud Spanner is optimized for cold storage
2. B. Cloud Spanner replicates data across regions in real time
3. C. Cloud Spanner is optimized to ingest unstructured data
4. D. Cloud Spanner visualizes and analyzes data in real time

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

- (Exam Topic 1)
Your organization consists of many teams. Each team has many Google Cloud projects. Your organization wants to simplify the management of identity and access policies for these projects.
How can you group these projects to meet this goal?

1. A. Group each team’s projects into a separate domain
2. B. Assign labels based on the virtual machines that are part of each team’s projects
3. C. Use folders to group each team’s projects
4. D. Group each team’s projects into a separate organization node

Correct Answer: C
Text Description automatically generated with medium confidence

https://cloud.google.com/resource-manager/docs/creating-managing-folders