GOOGLE CLOUD-DIGITAL-LEADER NEW BRAINDUMPS SHEET, RELIABLE CLOUD-DIGITAL-LEADER DUMPS QUESTIONS

Google Cloud-Digital-Leader New Braindumps Sheet, Reliable Cloud-Digital-Leader Dumps Questions

Google Cloud-Digital-Leader New Braindumps Sheet, Reliable Cloud-Digital-Leader Dumps Questions

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Google Cloud Digital Leader Sample Questions (Q373-Q378):

NEW QUESTION # 373
You are a database manager working for a new product that will need millions of reading and writ-ing from the database, with zero downtime, key-value i.e. NoSQL features, no manual steps should be required to ensure consistency, repair data, synchronize writes and deletes, Which of the follow-ing database you choose?

  • A. Cloud Firestore
  • B. Cloud SQL
  • C. Cloud BigTable
  • D. Cloud Spanner

Answer: C

Explanation:
Explanation
Cloud BigTable
Key features
High throughput at low latency
Bigtable is ideal for storing very large amounts of data in a key-value store and supports high read and write throughput at low latency for fast access to large amounts of data. Throughput scales linearly-you can increase QPS (queries per second) by adding Bigtable nodes. Bigtable is built with proven infrastructure that powers Google products used by billions such as Search and Maps.
Cluster resizing without downtime
Scale seamlessly from thousands to millions of reads/writes per second. Bigtable throughput can be dynamically adjusted by adding or removing cluster nodes without restarting, meaning you can increase the size of a Bigtable cluster for a few hours to handle a large load, then reduce the cluster's size again-all without any downtime.
Flexible, automated replication to optimize any workload
Write data once and automatically replicate where needed with eventual consistency-giving you control for high availability and isolation of reading and write workloads. No manual steps are needed to ensure consistency, repair data, or synchronize writes and deletes. Benefit from a high availability SLA of 99.999% for instances with multi-cluster routing across 3 or more regions (99.9% for single-cluster instances).


NEW QUESTION # 374
Your organization needs to minimize how much it pays for data traffic from the Google network to the internet. What should your organization do?

  • A. Choose the Premium network service tier.
  • B. Deploy Cloud VPN.
  • C. Choose the Standard network service tier.
  • D. Deploy Cloud NAT.

Answer: C

Explanation:
Choose the Standard network service tier. While Premium tier is the default for all egress traffic and offers the highest performance, when cost is a consideration. Standard tier is the more economical.

https://cloud.google.com/blog/products/networking/networking-cost-optimization-best-practices


NEW QUESTION # 375
Which of the following is true while creating a boot persistent disk from a snapshot.

  • A. All of the above.
  • B. 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.
  • C. It is only possible to apply data from a snapshot when you first create a persistent disk.
  • D. After you create a snapshot of a boot persistent disk, you can apply data from that snapshot to new persistent disks.

Answer: A

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.


NEW QUESTION # 376
A customer has a tens of applications that are dependent on Oracle databases in their on-premise data centers. The customer wants to migrate to Google Cloud. Their long term goal is to move to other cloud native database technologies. What options do they have to initially move their data?

  • A. Since there is no hosted Oracle solution, leave the Oracle data on-premise while doing analytics on Google Cloud.
  • B. Migrate to Cloud SQL.
  • C. Containerize Oracle and run it using Cloud Run.
  • D. Migrate to a Bare Metal server.

Answer: B

Explanation:
The Bare Metal solution is the recommended approach. You can deploy Oracle capabilities like clustered databases, replication, and all performance features at licensing costs that are similar to on-premise systems

https://cloud.google.com/architecture/migrating-bare-metal-workloads


NEW QUESTION # 377
An organization has a large archive of unstructured data, including video and audio files. Which storage solution should the organization use?

  • A. Cloud Storage
  • B. Cloud SQL
  • C. Cloud Spanner
  • D. Cloud Bigtable

Answer: A

Explanation:
The correct answer is D. Cloud Storage. Here's why:
Context of the Questio n : The organization has a large archive of unstructured data, including video and audio files. These types of files are typically large and require scalable storage that supports unstructured data formats.
Google Cloud Product Relevance:
Cloud Storage is a fully managed, scalable, and highly durable object storage service that supports storing any amount of unstructured data, including images, videos, audio files, backups, and more. It offers various storage classes to optimize costs based on access frequency, making it ideal for large archives.
Cloud Storage provides features like versioning, lifecycle management, and access control, which are essential for managing a large archive of files.
Why Not Other Options:
A . Cloud SQL: Cloud SQL is a managed relational database service that supports structured data with predefined schemas, not suitable for storing unstructured data like videos and audio files.
B . Cloud Spanner: Cloud Spanner is a fully managed, globally distributed relational database. It is also designed for structured data and not suitable for large-scale unstructured data storage.
C . Cloud Bigtable: Cloud Bigtable is a NoSQL database for large-scale analytics but is not optimized for storing unstructured data like multimedia files.
Google Cloud Digital Leader Reference:
Refer to Google Cloud Storage documentation for details on storing unstructured data and managing large archives.


NEW QUESTION # 378
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