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NEW QUESTION: 1
For this question, refer to the TerramEarth case study. You need to implement a reliable, scalable GCP solution for the data warehouse for your company, TerramEarth. Considering the TerramEarth business and technical requirements, what should you do?
A. Replace the existing data warehouse with BigQuery. Use table partitioning.
B. Replace the existing data warehouse with a Compute Engine instance with 96 CPUs. Add an additional Compute Engine pre-emptible instance with 32 CPUs.
C. Replace the existing data warehouse with a Compute Engine instance with 96 CPUs.
D. Replace the existing data warehouse with BigQuery. Use federated data sources.
Answer: D
Explanation:
Explanation/Reference:
Testlet 3
Company Overview
Mountkirk Games makes online, session-based, multiplayer games for mobile platforms. They build all of their games using some server-side integration. Historically, they have used cloud providers to lease physical servers.
Due to the unexpected popularity of some of their games, they have had problems scaling their global audience, application servers, MySQL databases, and analytics tools.
Their current model is to write game statistics to files and send them through an ETL tool that loads them into a centralized MySQL database for reporting.
Solution Concept
Mountkirk Games is building a new game, which they expect to be very popular. They plan to deploy the game's backend on Google Compute Engine so they can capture streaming metrics, run intensive analytics, and take advantage of its autoscaling server environment and integrate with a managed NoSQL database.
Business Requirements
Increase to a global footprint.

Improve uptime - downtime is loss of players.

Increase efficiency of the cloud resources we use.

Reduce latency to all customers.

Technical Requirements
Requirements for Game Backend Platform
Dynamically scale up or down based on game activity.

Connect to a transactional database service to manage user profiles and game state.

Store game activity in a timeseries database service for future analysis.

As the system scales, ensure that data is not lost due to processing backlogs.

Run hardened Linux distro.

Requirements for Game Analytics Platform
Dynamically scale up or down based on game activity

Process incoming data on the fly directly from the game servers

Process data that arrives late because of slow mobile networks

Allow queries to access at least 10 TB of historical data

Process files that are regularly uploaded by users' mobile devices

Executive Statement
Our last successful game did not scale well with our previous cloud provider, resulting in lower user adoption and affecting the game's reputation. Our investors want more key performance indicators (KPIs) to evaluate the speed and stability of the game, as well as other metrics that provide deeper insight into usage patterns so we can adapt the game to target users. Additionally, our current technology stack cannot provide the scale we need, so we want to replace MySQL and move to an environment that provides autoscaling, low latency load balancing, and frees us up from managing physical servers.

NEW QUESTION: 2
Which scenario will cause automatic high availability (HA) synchronization to fail?
A. Different build versions
B. A force failover
C. Manually forced synchronization
D. A configuration change to the primary NetScaler
Answer: C

NEW QUESTION: 3
A company has an application that sells tickets online and experiences bursts of demand even/ 7 days. The application has a stateless presentation layer running on Amazon EC2 an Oracle database to store unstructured data catalog information and a backend API layer. The front-end layer uses an Elastic Load Balancer to distribute the load across nine On-Demand instances over three Availability Zones (AZs). The Oracle database is running on a single EC2 instance The company is experiencing performance issues when running more than two concurrent campaigns. A solutions architect must design a solution that meets the following requirements
* Address scalability issues
* Increase the level of concurrency
* Eliminate licensing costs
* improve reliability
Which set of steps should the solutions architect take?
A. Convert the On-Demand instances into Spot instances to reduce costs for the front end Convert the tables in the Oracle database into Amazon DynamoDB tables.
B. Create an Auto Scaling group foe the front end with a combination of On-Demand and Spot instances to reduce costs Convert the tables in the Oracle database into Amazon DynamoDB tables
C. Create an Auto Scaling group for the front end with a combination of On-Demand and Spot Instances to reduce costs Create two additional copies of the database instance, then distribute the databases in separate AZs
D. Create an Auto Scaling group for the front end with a combination of On-Demand and Spot instances to reduce costs Convert the Oracle database into a single Amazon RDS reserved DB instance
Answer: D