Cloud-Digital-Leader Exam Dumps - Google Cloud Digital Leader exam

With Lift and Shift migrations, the customer could move workloads from a source environment to a target environment with few or no modifications or refactoring

https://cloud.google.com/architecture/migration-to-gcp-getting-started

Integrated repository for analytics and ML: The highest level of availability and performance within a single region is ideal for compute, analytics, and machine learning workloads in a particular region. Cloud Storage is also strongly consistent, giving you confidence and accuracy in analytics workloads.

Table Description automatically generated with medium confidence

https://cloud.google.com/storage/docs/storage-classes

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.

Cloud SQL for MySQL:

Features

- Fully managed MySQL Community Edition databases in the cloud.

- Cloud SQL instances support MySQL 8.0, 5.7 (default), and 5.6, and provide up to 624 GB of RAM and 64 TB of data storage, with the option to automatically increase the storage size, as needed.

- Create and manage instances in the Google Cloud Console.

- Instances are available in the Americas, EU, Asia, and Australia.

- Customer data is encrypted on Google's internal networks and in database tables, temporary files, and backups.

- Support for secure external connections with the Cloud SQL Auth proxy or with the SSL/TLS protocol.

- Support for private IP (private services access).

- Data replication between multiple zones with automatic failover.

- Import and export databases using mysqldump, or import and export CSV files.

- Support for MySQL wire protocol and standard MySQL connectors.

- Automated and on-demand backups and point-in-time recovery.

- Instance cloning.

- Integration with Google Cloud's operations suite logging and monitoring.

Local SSDs are attached to the VM and have very high throughput. However, when the VM shuts down, The local SSD is also shut down, Since our Workload here is foult tolerant, than is not an issue.

You can send notification messages using the Notifications composer in the Firebase console. Though this does not provide the same flexibility or scalability as sending messages with the Admin SDK or the HTTP and XMPP protocols, it can be very useful for testing or for highly targeted marketing and user engagement. The Firebase console provides analytics-based A/B testing to help refine and improve marketing messages.

After you have developed logic in your app to receive messages, you can allow non-technical users to send messages per the instructions on the Notifications page in the Firebase Help Center.

Compute Engine provides graphics processing units (GPUs) that you can add to your virtual machines (VMs). You can use these GPUs to accelerate specific workloads on your VMs such as machine learning and data processing.

https://cloud.google.com/compute/docs/gpus

Cloud Spanner:

Fully managed relational database with unlimited scale, strong consistency, and up to 99.999% availability.

- Get all the benefits of relational semantics and SQL with unlimited scale

- Start at any size and scale with no limits as your needs grow

- Enjoy high availability with zero scheduled downtime and online schema changes

- Deliver high-performance transactions with strong consistency across regions and continents

- Focus on innovation, eliminating manual tasks with capabilities like automatic sharding

Automatic sharding

Cloud Spanner optimizes performance by automatically sharding the data based on request load and size of the data. As a result, you can spend less time worrying about how to scale your database and instead focus on scaling your business.

Strong transactional consistency

Purpose-built for external, strong, global transactional consistency.

Regional and multi-regional configurations

No matter where your users may be, apps backed by Cloud Spanner can read and write up-to-date strongly consistent data globally Additionally, when running a multi-region instance, your database is able to survive a regional failure, and offers industry-leading 99.999% availability.

Online schema changes with no downtime

Cloud Spanner users can make a schema change, whether it’s adding a column or adding an index while serving traffic with zero downtime. Hence you now have the flexibility to adapt your database to your business needs without compromising on the availability of your application.