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NEW QUESTION: 1
Case Study: 1 - Flowlogistic
Company Overview
Flowlogistic is a leading logistics and supply chain provider. They help businesses throughout the world manage their resources and transport them to their final destination. The company has grown rapidly, expanding their offerings to include rail, truck, aircraft, and oceanic shipping.
Company Background
The company started as a regional trucking company, and then expanded into other logistics market.
Because they have not updated their infrastructure, managing and tracking orders and shipments has become a bottleneck. To improve operations, Flowlogistic developed proprietary technology for tracking shipments in real time at the parcel level. However, they are unable to deploy it because their technology stack, based on Apache Kafka, cannot support the processing volume. In addition, Flowlogistic wants to further analyze their orders and shipments to determine how best to deploy their resources.
Solution Concept
Flowlogistic wants to implement two concepts using the cloud:
Use their proprietary technology in a real-time inventory-tracking system that indicates the location of their loads Perform analytics on all their orders and shipment logs, which contain both structured and unstructured data, to determine how best to deploy resources, which markets to expand info. They also want to use predictive analytics to learn earlier when a shipment will be delayed.
Existing Technical Environment
Flowlogistic architecture resides in a single data center:
Databases
8 physical servers in 2 clusters
SQL Server - user data, inventory, static data
3 physical servers
Cassandra - metadata, tracking messages
10 Kafka servers - tracking message aggregation and batch insert
Application servers - customer front end, middleware for order/customs 60 virtual machines across 20 physical servers Tomcat - Java services Nginx - static content Batch servers Storage appliances iSCSI for virtual machine (VM) hosts Fibre Channel storage area network (FC SAN) ?SQL server storage Network-attached storage (NAS) image storage, logs, backups Apache Hadoop /Spark servers Core Data Lake Data analysis workloads
20 miscellaneous servers
Jenkins, monitoring, bastion hosts,
Business Requirements
Build a reliable and reproducible environment with scaled panty of production. Aggregate data in a centralized Data Lake for analysis Use historical data to perform predictive analytics on future shipments Accurately track every shipment worldwide using proprietary technology Improve business agility and speed of innovation through rapid provisioning of new resources Analyze and optimize architecture for performance in the cloud Migrate fully to the cloud if all other requirements are met Technical Requirements Handle both streaming and batch data Migrate existing Hadoop workloads Ensure architecture is scalable and elastic to meet the changing demands of the company.
Use managed services whenever possible
Encrypt data flight and at rest
Connect a VPN between the production data center and cloud environment SEO Statement We have grown so quickly that our inability to upgrade our infrastructure is really hampering further growth and efficiency. We are efficient at moving shipments around the world, but we are inefficient at moving data around.
We need to organize our information so we can more easily understand where our customers are and what they are shipping.
CTO Statement
IT has never been a priority for us, so as our data has grown, we have not invested enough in our technology. I have a good staff to manage IT, but they are so busy managing our infrastructure that I cannot get them to do the things that really matter, such as organizing our data, building the analytics, and figuring out how to implement the CFO' s tracking technology.
CFO Statement
Part of our competitive advantage is that we penalize ourselves for late shipments and deliveries. Knowing where out shipments are at all times has a direct correlation to our bottom line and profitability.
Additionally, I don't want to commit capital to building out a server environment.
Flowlogistic wants to use Google BigQuery as their primary analysis system, but they still have Apache Hadoop and Spark workloads that they cannot move to BigQuery. Flowlogistic does not know how to store the data that is common to both workloads. What should they do?
A. Store the common data in BigQuery as partitioned tables.
B. Store he common data in the HDFS storage for a Google Cloud Dataproc cluster.
C. Store the common data in BigQuery and expose authorized views.
D. Store the common data encoded as Avro in Google Cloud Storage.
Answer: C

NEW QUESTION: 2
Which statement is correct regarding HP Fortify's place in the market?
A. Fortify has the most trial downloads annually of any of the primary SAST providers
B. Fortify has been providing solutions since 2010.
C. Fortify has more than 1,000 enterprise customers.
D. Fortify secures 1,000 websites annually.
Answer: C

NEW QUESTION: 3
A common root user account has been configured for a group of ESXi 6.x hosts.
Which two steps should be taken tomitigatesecurity risks associated with this configuration? (Choose two.)
A. Use Lockdown mode to restrict root account access.
B. Remove the root user account from the ESXi host.
C. Set a complex password for the root account and limit its use.
D. Use ESXi Active Directory capabilities to assign users the administrator role.
Answer: C,D

NEW QUESTION: 4
An administrator is adding a new desktop pool for a business unit that has recently started using Virtual Desktops. A new Organizational Unit (OU) has been created beside the original OU.
During provisioning of this new pool, the administrator receives an error message stating that creation of the computer accounts failed. The same View Composer domain account is being used for the existing pool and the new pool. The existing View Composer domain account is still functioning correctly for the original desktop pool.
What is causing the failure to create the computer accounts?
A. The existing domain account is being used by the original OU and is locked for use on the new OU.
B. The new OU does not have the correct permissions applied for the View Composer domain account.
C. The Parent virtual machine being used for the pool has not been enabled for use in the new OU.
D. The new OU does not have the correct View-specific GPO settings applied.
Answer: B