ACP-620-KR Practice Questions

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NEW QUESTION: 1



A. Option B
B. Option D
C. Option A
D. Option C
Answer: D

NEW QUESTION: 2
After creating a compensation plan and eligibility profiles, you are currently modeling the budget allocation.
The HR manager informs you that one employee under Supervisor 1 has been seconded to a different country on a temporary basis with no changes to his employment terms and that this employee must be removed from the budgeting exercise.
What is the correct way of achieving this? (Choose the best answer.)
A. Advise Supervisor 1 not to allocate any compensation for the employee. In the meanwhile, manually adjust the budget allocated to Supervisor 1 to exclude the employee's amount.
B. Modify the eligibility profile by using a formula to exclude the employee from appearing under Supervisor 1. After the compensation cycle is completed, revert the eligibility profile to its original from, if needed.
C. Use the Edit button in the Employee's included area while creating a model to exclude the employee.
D. Use the Include check box next to the employee's name in the Budget worksheet to exclude the employee from the cycle.
Answer: A

NEW QUESTION: 3
You have a custom entity in Dynamics CRM.
You want users to be able to search and use knowledge base articles directly from the Main form of the custom entity.
You discover that you cannot add the knowledge base search control to the form.
You need to identify what prevents you from adding the control.
What should you identify?
A. Knowledge Management is disabled on the entity.
B. Knowledge Management is disabled on the form.
C. A relationship to the knowledge base entity is missing.
D. The notes control on the form is missing.
Answer: A
Explanation:
Explanation/Reference:
References:
https://technet.microsoft.com/en-us/library/dn946902.aspx

NEW QUESTION: 4
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
10 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 is rolling out their real-time inventory tracking system. The tracking devices will all send package-tracking messages, which will now go to a single Google Cloud Pub/Sub topic instead of the Apache Kafka cluster. A subscriber application will then process the messages for real-time reporting and store them in Google BigQuery for historical analysis. You want to ensure the package data can be analyzed over time.
Which approach should you take?
A. Attach the timestamp and Package ID on the outbound message from each publisher device as they are sent to Clod Pub/Sub.
B. Attach the timestamp on each message in the Cloud Pub/Sub subscriber application as they are received.
C. Use the NOW () function in BigQuery to record the event's time.
D. Use the automatically generated timestamp from Cloud Pub/Sub to order the data.
Answer: A