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C_BW4H_211 Practice Questions & Answers PDF Version.

NEW QUESTION: 1
Flowlogistic Case Study
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 and expose authorized views.
B. Store he common data in the HDFS storage for a Google Cloud Dataproc cluster.
C. Store the common data encoded as Avro in Google Cloud Storage.
D. Store the common data in BigQuery as partitioned tables.
Answer: A

NEW QUESTION: 2
The question below is based on the following information:

The mean absolute deviation for the above forecast is:
A. 1.
B. 5.
C. 3.
D. -1.
Answer: C

NEW QUESTION: 3
Vault1という名前のRecovery Servicesコンテナーを持つAzureサブスクリプションがあります。サブスクリプションには、次の表に示す仮想マシンが含まれています。

バックアップを毎晩23:00に実行するようにスケジュールする予定です。
Azure Backupを使用してバックアップできる仮想マシンはどれですか？
A. VM1およびVM2のみ
B. VM1およびVM3のみ
C. VM1。 VM2、VM3、VM4
D. VM1のみ
Answer: C
Explanation:
Explanation
Azure Backup supports backup of 64-bit Windows server operating system from Windows Server 2008.
Azure Backup supports backup of 64-bit Windows 10 operating system.
Azure Backup supports backup of 64-bit Ubuntu Server operating system from Ubuntu 12.04.
Azure Backup supports backup of VM that are shutdown or offline.
Reference:
https://docs.microsoft.com/en-us/azure/backup/backup-support-matrix-iaas
https://docs.microsoft.com/en-us/azure/virtual-machines/linux/endorsed-distros

NEW QUESTION: 4
Hans, the IT Manager at one of your high-tech customers, calls to tell you that they acquired another company. This new acquisition has both Tandberg and Cisco telepresence rooms. Although they would eventually want to reduce the variety of systems, Hans would initially like to have it just integrated with the existing Polycom@ and LifeSize@ telepresence and the Scopia@ endpoints and infrastructure you have proposed. So in order to connect to an Elite MCU meet-me conference with full functionality, which of the following telepresence systems will require a TIP Gateway?
A. Tandberg telepresence
B. LifeSize telepresence
C. Polycom telepresence
D. Cisco telepresence
Answer: D
Explanation:
Reference: http://downloads.avaya.com/css/P8/documents/100173478 (page 12, see Important)