Google Cloud Digital Leader Practice Test - Questions Answers, Page 13
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Question 121
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A large organization is struggling to manage their cloud costs effectively. They want to increase visibility into cloud costs. Which cost management approach should the organization use?
Explanation:
Because cross-team partnerships are part of the visibility cost management strategy.
https://wa.aws.amazon.com/wat.question.COST_1.en.html
Question 122
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A financial services company is running an experimental application workload that has a very large number of mathematical calculations involving floating-point numbers. The current application that is running on compute engine is not providing enough speed and throughput. What are the options to increase the processing performance?
Explanation:
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
Question 123
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Your client is a financial services company giving loans based on customer profiles. As part of the regulatory compliance, they have to collect a bunch of different documents with know your customer (KYC) information. They want to be able to process the information in these documents quickly and at scale. They want to integrate the chosen solution as quickly as possible. What are your options on Google Cloud?
Explanation:
Lending DocAI is a pre-packaged AI solution that speeds "up the mortgage workflow processes to easily process loans and automate document data capture, while ensuring the accuracy and breadth of different documents (e.g., tax statements and asset documents)."
https://cloud.google.com/solutions/lending-doc-ai
Question 124
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A large travel company has thus far invested heavily in their technology team. There is strategic pressure on the company to focus on their core business and innovate to survive in certain geographies and thrive in others. They are evaluating whether a move to Google Cloud will be good for them. Which of these reasons would be relevant for them? (choose two answer)
Question 125
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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?
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.
Question 126
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Keeping Flavours of Apigee in mind, which of the following statements is/are correct?
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.
Question 127
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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?
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 increasesó 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.
Question 128
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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)
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.
Question 129
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You have contracted a partner to conduct some medical trials. This is a limited, 2-month contract. At the end of each day, you are expecting about 10 Gbs of dat a. The data is highly sensitive. What networking option would you employ?
Explanation:
"Cloud VPN securely extends your peer network to Google's network through an IPsec VPN tunnel.
Traffic is encrypted and travels between the two networks over the public internet. Cloud VPN is useful for low-volume data connections. For additional connection options, see the Hybrid Connectivity product page."
Question 130
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You are working with a government agency. A web application serves users of the country. It al-lows citizens to receive certain services in providing their national identity. Citizens have com-plained that they are seeing delays in web page loading compared to before. On investigating, they are seeing a lot of spurious traffic coming in from a few IPs which they have identified as for-eign. What should they do?
Explanation:
Cloud Armor provides DDoS protection for applications. It can also "Filter your incoming traffic based on IPv4 and IPv6 addresses or CIDRs. Enforce geography-based access controls to allow or deny traffic based on source geo using Google's geoIP mapping."
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