Practice Free Cloud-Digital-Leader Exam Online Questions
What is monitoring within the context of cloud operations?
- A . Observing cloud expenditure in real time to ensure that budgets are not exceeded
- B . Collecting predefined and custom metrics from applications and infrastructure
- C . Tracking user activities to guarantee compliance with privacy regulations
- D . Tracing user location to document regional access and utilization
Your organization wants to migrate its data management solutions to Google Cloud because it needs to dynamically scale up or down and to run transactional SQL queries against historical data at scale.
Which Google Cloud product or service should your organization use?
- A . BigQuery
- B . Cloud Bigtable
- C . Pub/Sub
- D . Cloud Spanner
D
Explanation:
Reference: https://cloud.google.com/terms/services
Cloud Spanner is a fully-managed, mission-critical relational database service. It is designed to provide a scalable online transaction processing (OLTP) database with high availability and strong consistency at global scale
Your organization wants to migrate its data management solutions to Google Cloud because it needs to dynamically scale up or down and to run transactional SQL queries against historical data at scale.
Which Google Cloud product or service should your organization use?
- A . BigQuery
- B . Cloud Bigtable
- C . Pub/Sub
- D . Cloud Spanner
D
Explanation:
Reference: https://cloud.google.com/terms/services
Cloud Spanner is a fully-managed, mission-critical relational database service. It is designed to provide a scalable online transaction processing (OLTP) database with high availability and strong consistency at global scale
Your Google Cloud Platform [GCP] admin has to manage a bunch of API keys for external services that are accessed by different applications, which are used by a few teams.
What is the best way to manage them?
- A . Share the information in a Github repository and grant access to the repo in IAM as required.
- B . Store the information in Secret Manager and give IAM read permissions as re-quired.
- C . Store the information in Kubernetes Secrets and only grant read permissions to users as required.
- D . Encrypt the information and store it in Cloud Storage for centralized access. Give the decrypt key only to the users who need to access it.
B
Explanation:
Store the information in Secret Manager is a secure and convenient storage system for API keys, passwords, certificates, and other sensitive data. Secret Manager provides a central place and single source of truth to manage access, and audit secrets across Google Cloud. https://cloud.google.com/secret-manager
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?
- A . Migrate to Bigtable which provides high throughput reads and writes.
- B . Migrate to Cloud Spanner as a globally scalable SQL database.
- C . Migrate to BigQuery as a central data warehouse.
- 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.
C
Explanation:
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.
An organization is developing a new container-based application. They do not know how popular the application will be when launched and they do not want to pay for idle infrastructure resources.
Which benefit of serverless computing will address this concern?
- A . Reduced development costs
- B . Built-in security
- C . Scalability
- D . Disaster recovery
Your organization is developing and deploying an application on Google Cloud. Tracking your Google Cloud spending needs to stay as simple as possible.
What should you do to ensure that workloads in the development environment are fully isolated from production workloads?
- A . Apply a unique tag to development resources
- B . Associate the development resources with their own network
- C . Associate the development resources with their own billing account
- D . Put the development resources in their own project
D
Explanation:
Reference: https://www.deps.co/blog/google-cloud-platform-good-bad-ugly/
Project resources are components that are necessary for successful project implementation. They include people, equipment, money, time, knowledge C basically, anything that you may require from the project planning to the project delivery phases.
Which of the following is true while creating a boot persistent disk from a snapshot.
- A . You cannot apply a snapshot to an existing persistent disk, or apply a snapshot to persistent disks that belong to a different project than that snapshot.
- B . It is only possible to apply data from a snapshot when you first create a persistent disk.
- C . After you create a snapshot of a boot persistent disk, you can apply data from that snapshot to
new persistent disks. - D . All of the above.
D
Explanation:
When you create a virtual machine (VM) instance, you must also create a boot disk for the VM. You can use a public image, a custom image, or a snapshot that was taken from another boot disk. When you create a boot disk, limit the disk size to 2 TB to account for the limitations of MBR partitioning. Compute Engine automatically creates a boot persistent disk when you create an instance. If you require additional data storage space for your instances, add one or more secondary instance storage options.
You might need to create a standalone boot persistent disk and attach it to an instance later, or resize a boot persistent disk to improve performance and add more space for additional applications or operating system files. That process is described in Add or resize a persistent disk.
As a best practice, do not use regional persistent disks for boot disks. In a failover situation, they do not force-attach to a VM.
After you create a snapshot of a boot persistent disk, you can apply data from that snapshot to new persistent disks. It is only possible to apply data from a snapshot when you first create a persistent disk. You cannot apply a snapshot to an existing persistent disk, or apply a snapshot to persistent disks that belong to a different project than that snapshot.
Your application has repeated data requests of the exact same nature. At the same time, the number of user requests is increasing. Monitoring indicates that the load on the existing database is increasing, and there seems to be a bottleneck. An analysis of the data requested shows us that it is application-managed data and that it changes, but not often.
How can you improve the efficiency of the application?
- A . Use Cloud Memorystore to improve speed via caching
- B . Increase the amount of RAM on the machine hosting the database so that it has higher data throughput.
- C . Use Cloud Storage with multi-regional storage so that all users accessing the data will have lower latency
- D . Increase the number of CPUs on the machine hosting the database so that it has higher data throughput.
A
Explanation:
Cloud Memorystore is an in-memory database that has sub-millisecond latency. This is ideal for caching application data that also changes once in a while.
https://cloud.google.com/memorystore
An organization supplies electric car chargers in a nationwide network. They store customer and charging data in BigQuery. They want to efficiently upgrade and maintain their network to reduce waste and achieve their sustainability goals.
How can Google Cloud services help the organization?
- A . Secure data access by using Identity and Access Management.
- B . Move data from BigQuery to Cloud Storage to reduce storage costs.
- C . Provide access to third-party developers by creating an API using Apigee.
- D . Create a model in BiaQuery to Dredict future maintenance schedules.