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NEW QUESTION 24
An e-commerce company's business has been booming. To keep up with the growth the IT team also grew. Many new people are being added and new resources are being set up. The CIO is in conver-sation with you over coffee one day and expresses her growing concern that they might be moving too fast. Their security checks and policies have not kept pace. She worries that somebody would make a misconfiguration or compliance violation thus exposing the company to data and privacy loss. What can you advise her?

• A. Use Cloud Identity-Aware Proxy to allow only specific users to access the data.
• B. Use Cloud Data Loss Prevention to prevent the loss of any data.
• C. Use Security Command Center to have a centralized view of assets and get noti-fied on misconfigurations and vulnerabilities.
• D. Use Cloud Armor to block any DDoS attacks that could be a threat.

Answer: C

Explanation:
Security Command Center is the right tool for this use case. It can check resources for security issues and notify you when issues are found.
https://cloud.google.com/security-command-center

NEW QUESTION 25
You are migrating workloads to the cloud. The goal of the migration is to serve customers worldwide as quickly as possible According to local regulations, certain data is required to be stored in a specific geographic area, and it can be served worldwide. You need to design the architecture and deployment for your workloads.
What should you do?

• A. Select a public cloud provider that guarantees data location in the required geographic area
• B. Select a private cloud provider that is only active in the required geographic area
• C. Select a private cloud provider that globally replicates data storage for fast data access
• D. Select a public cloud provider that is only active in the required geographic area

Answer: B

Explanation:
Many companies choose private cloud over public cloud because private cloud is an easier way (or the only way) to meet their regulatory compliance requirements. Others choose private cloud because their workloads deal with confidential documents, intellectual property, personally identifiable information (PII), medical records, financial data, or other sensitive data.

NEW QUESTION 26
Your organization is developing an application that will capture a large amount of data from millions of different sensor devices spread all around the world. Your organization needs a database that is suitable for worldwide, high-speed data storage of a large amount of unstructured data.
Which Google Cloud product should your organization choose?

• A. Cloud SQL
• B. Cloud Bigtable
• C. Firestore
• D. Cloud Data Fusion

Answer: B

Explanation:
Reference:
Cloud Bigtable is a sparsely populated table that can scale to billions of rows and thousands of columns, enabling you to store terabytes or even petabytes of data. A single value in each row is indexed; this value is known as the row key. Bigtable is ideal for storing very large amounts of single-keyed data with very low latency. It supports high read and write throughput at low latency, and it is an ideal data source for MapReduce operations.
Bigtable is exposed to applications through multiple client libraries, including a supported extension to the Apache HBase library for Java. As a result, it integrates with the existing Apache ecosystem of open-source Big Data software.
Bigtable's powerful back-end servers offer several key advantages over a self-managed HBase installation:
Incredible scalability. Bigtable scales in direct proportion to the number of machines in your cluster. A self-managed HBase installation has a design bottleneck that limits the performance after a certain threshold is reached. Bigtable does not have this bottleneck, so you can scale your cluster up to handle more reads and writes.
Simple administration. Bigtable handles upgrades and restarts transparently, and it automatically maintains high data durability. To replicate your data, simply add a second cluster to your instance, and replication starts automatically. No more managing replicas or regions; just design your table schemas, and Bigtable will handle the rest for you.
Cluster resizing without downtime. 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. After you change a cluster's size, it typically takes just a few minutes under load for Bigtable to balance performance across all of the nodes in your cluster.

NEW QUESTION 27
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