You want to optimize the performance of an accurate, real-time, weather-charting application. The data comes from 50,000 sensors sending 10 readings a second, in the format of a timestamp and sensor reading. Where should you store the data?
Correct Answer: C
It is time-series data, So Big Table. https://cloud.google.com/bigtable/docs/schema-design-time-series Google Cloud Bigtable is a scalable, fully-managed NoSQL wide-column database that is suitable for both real-time access and analytics workloads. Good for: Low-latency read/write access High-throughput analytics Native time series support Common workloads: IoT, finance, adtech Personalization, recommendations Monitoring Geospatial datasets Graphs References: https://cloud.google.com/storage-options/
Question 72
Your customer is moving their corporate applications to Google Cloud Platform. The security team wants detailed visibility of all projects in the organization. You provision the Google Cloud Resource Manager and set up yourself as the org admin. What Google Cloud Identity and Access Management (Cloud IAM) roles should you give to the security team?
Correct Answer: C
Question 73
You are designing a mobile chat application. You want to ensure people cannot spoof chat messages, by providing a message were sent by a specific user. What should you do?
Correct Answer: D
Encrypting each block and tagging each message at the client side is an overhead on the application. Best method which has been adopted since years is contacting the SSL provider and use the public certificate to encrypt the traffic between client and the server.
Question 74
For this question refer to the TerramEarth case study Operational parameters such as oil pressure are adjustable on each of TerramEarth's vehicles to increase their efficiency, depending on their environmental conditions. Your primary goal is to increase the operating efficiency of all 20 million cellular and unconnected vehicles in the field How can you accomplish this goal?
Correct Answer: B
Topic 3, JencoMart Case Study Company Overview JencoMart is a global retailer with over 10,000 stores in 16 countries. The stores carry a range of goods, such as groceries, tires, and jewelry. One of the company's core values is excellent customer service. In addition, they recently introduced an environmental policy to reduce their carbon output by 50% over the next 5 years. Company Background JencoMart started as a general store in 1931, and has grown into one of the world's leading brands known for great value and customer service. Over time, the company transitioned from only physical stores to a stores and online hybrid model, with 25% of sales online. Currently, JencoMart has little presence in Asia, but considers that market key for future growth. Solution Concept JencoMart wants to migrate several critical applications to the cloud but has not completed a technical review to determine their suitability for the cloud and the engineering required for migration. They currently host all of these applications on infrastructure that is at its end of life and is no longer supported. Existing Technical Environment JencoMart hosts all of its applications in 4 data centers: 3 in North American and 1 in Europe, most applications are dual-homed. JencoMart understands the dependencies and resource usage metrics of their on-premises architecture. Application Customer loyalty portal LAMP (Linux, Apache, MySQL and PHP) application served from the two JencoMart- owned U.S. data centers. Database * Oracle Database stores user profiles * 20 TB * Complex table structure * Well maintained, clean data * Strong backup strategy * PostgreSQL database stores user credentials * Single-homed in US West No redundancy Backed up every 12 hours * 100% uptime service level agreement (SLA) * Authenticates all users Compute * 30 machines in US West Coast, each machine has: Twin, dual core CPUs 32GB of RAM * Twin 250 GB HDD (RAID 1) * 20 machines in US East Coast, each machine has: Single dual-core CPU 2 4 GB of RAM * Twin 250 GB HDD (RAID 1) Storage * Access to shared 100 TB SAN in each location * Tape backup every week Business Requirements * Optimize for capacity during peak periods and value during off-peak periods * Guarantee service availably and support * Reduce on-premises footprint and associated financial and environmental impact. * Move to outsourcing model to avoid large upfront costs associated with infrastructure purchase * Expand services into Asia. Technical Requirements * Assess key application for cloud suitability. * Modify application for the cloud. * Move applications to a new infrastructure. * Leverage managed services wherever feasible * Sunset 20% of capacity in existing data centers * Decrease latency in Asia CEO Statement JencoMart will continue to develop personal relationships with our customers as more people access the web. The future of our retail business is in the global market and the connection between online and in-store experiences. As a large global company, we also have a responsibility to the environment through 'green' initiatives and polices. CTO Statement The challenges of operating data centers prevents focus on key technologies critical to our long-term success. Migrating our data services to a public cloud infrastructure will allow us to focus on big data and machine learning to improve our service customers. CFO Statement Since its founding JencoMart has invested heavily in our data services infrastructure. However, because of changing market trends, we need to outsource our infrastructure to ensure our long-term success. This model will allow us to respond to increasing customer demand during peak and reduce costs.
Question 75
Google Cloud Platform resources are managed hierarchically using organization, folders, and projects. When Cloud Identity and Access Management (IAM) policies exist at these different levels, what is the effective policy at a particular node of the hierarchy?
