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Free CLOUD-DIGITAL-LEADER Exam Braindumps (page: 33)

Page 32 of 104
PDF with 411 Questions

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. Migrate to Bigtable which provides high throughput reads and writes.
  2. Migrate to Cloud Spanner as a globally scalable SQL database.
  3. Migrate to BigQuery as a central data warehouse.
  4. 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.

Answer(s): 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.



Keeping Flavours of Apigee in mind, which of the following statements is/are correct?

  1. A hybrid version consisting of a runtime plane installed on-premises or in a cloud provider of your choice, and a management plane running in Apigee's cloud. In this model, API traffic and data are confined within your own enterprise-approved boundaries.
  2. A hosted SaaS version in which Apigee maintains the environment, allowing you to concentrate on building your services and defining the APIs to those services.
  3. There are two types of Flavours in Apigee i.e. Apigee & Apigee Hybrid.
  4. All of the above are correct.

Answer(s): D

Explanation:

Flavors of Apigee
Apigee comes in the following flavors:
Apigee: A hosted SaaS version in which Apigee maintains the environment, allowing you to concentrate on building your services and defining the APIs to those services. Apigee hybrid: A hybrid version consisting of a runtime plane installed on-premises or in a cloud provider of your choice, and a management plane running in Apigee's cloud. In this model, API traffic and data are confined within your own enterprise-approved boundaries.



Cloud SQL is a fully-managed relational database service for MySQL, PostgreSQL and SQL serv-ers, keeping Cloud SQL Google Cloud Service in mind, which of the following statements is/are correct?

  1. Data inside cloud SQL is automatically Encrypted.
  2. Cloud SQL automatically ensures your databases are reliable, secure, and scala-ble so that your business continues to run without disruption.
  3. With DMS (Database Migration Service) it becomes very easy to Migration of Pro-duction Database.
  4. All of the above

Answer(s): D

Explanation:

Cloud SQL

Fully managed relational database service for MySQL, PostgreSQL, and SQL Server. Run the exact same relational databases you know with their rich extension collections, configuration flags and developer ecosystem, but without the hassle of self management.

- Reduce maintenance cost with fully managed MySQL, PostgreSQL and SQL Server databases.
- Ensure business continuity with reliable and secure services backed by 24/7 SRE team.

- Automate database provisioning, storage capacity management, and other time-consuming tasks.
- Database observability made easy for developers with Cloud SQL Insights.
- Easy integration with existing apps and Google Cloud services like GKE and BigQuery.

Key features:
Fully managed
Cloud SQL automatically ensures your databases are reliable, secure, and scalable so that your business continues to run without disruption. Cloud SQL automates all your backups, replication, encryption patches, and capacity increases--while ensuring greater than 99.95% availability, anywhere in the world.
Integrated
Access Cloud SQL instances from just about any application. Easily connect from App Engine,

Compute Engine, Google Kubernetes Engine, and your workstation. Open up analytics possibilities by using BigQuery to directly query your Cloud SQL databases.
Reliable
Easily configure replication and backups to protect your data. Go further by enabling automatic failover to make your database highly available. Your data is automatically encrypted, and Cloud SQL is SSAE 16, ISO 27001, and PCI DSS compliant and supports HIPAA compliance.
Easy migrations to Cloud SQL
Database Migration Service (DMS) makes it easy to migrate your production databases to Cloud SQL with minimal downtime. This serverless offering eliminates the manual hassle of provisioning, managing, and monitoring migration-specific resources. DMS leverages the native replication capabilities of MySQL and PostgreSQL to maximize the fidelity and reliability of your migration. And it's available at no additional charge for native like-to-like migrations to Cloud SQL.



Customer Managed Encryption Keys (CMEK) can be used for encrypting data inside Cloud BigTable, which of the following statements is/are correct. (Select two answer)

  1. Administrators can not rotate
  2. Not supported for instances that have clustered in more than one region.
  3. CMEK can only be configured at the cluster level.
  4. You can not use the same CMEK key in multiple projects

Answer(s): B,C

Explanation:

Customer-managed encryption keys for Cloud BigTable.

By default, all the data at rest in Cloud Bigtable is encrypted using Google's default encryption. Bigtable handles and manages this encryption for you without any additional action on your part. If you have specific compliance or regulatory requirements related to the keys that protect your data, you can use customer-managed encryption keys (CMEK) for BigTable. Instead of Google managing the encryption keys that protect your data, your BigTable instance is protected using a key that you control and manage in Cloud Key Management Service (Cloud KMS).

Features
Security: CMEK provides the same level of security as Google's default encryption but provides more administrative control.
Data access control: Administrators can rotate, manage access to, and disable or destroy the key used to protect data at rest in BigTable .
Auditability: All actions on your CMEK keys are logged and viewable in Cloud Logging. Comparable performance: BigTable CMEK-protected instances offer comparable performance to BigTable instances that use Google default encryption. Flexibility: You can use the same CMEK key in multiple projects or instances or you can use separate keys, depending on your business needs.






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