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Exam Code: DAS-C01
Exam Name: AWS Certified Data Analytics - Specialty (DAS-C01) Exam
Vendor: Amazon

60 Questions & Answers
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NEW QUESTION: 1
You are designing a monitoring solution to log performance for servers that run Windows Server 2008 R2.
The monitoring solution must allow members of the Performance Log Users group to create and modify
Data Collector Sets.
You need to grant members of the Performance Log Users group the necessary permissions.
Which User Rights Assignment policy should you configure?
To answer, select the appropriate User Rights Assignment policy in the answer area.
Point and Shoot:

Answer:
Explanation:

Explanation/Reference:
ENABLE LOGGING BY PERFORMANCE LOG USERS GROUP
In order for members of the Performance Log Users group to initiate data logging or modify Data Collector Sets, the group must first be assigned the "Log on as a batch job" user right. To assign this user right, use the Local Security Policy snap-in in Microsoft Management Console.

http://technet.microsoft.com/en-us/library/cc722184.aspx

NEW QUESTION: 2

A. <iframe sandbox="allowscripts" src"frame1.html"x/iframe>
B. <iframe seamless="allowscripts" src="frame1.html"<>/iframe>
C. <iframe seamless src="frame1.html"></iframe>
D. <iframe sandbox src="frame1.htmlnX/iframe>
Answer: D

NEW QUESTION: 3
Your company built a TensorFlow neutral-network model with a large number of neurons and layers. The model fits well for the training data. However, when tested against new data, it performs poorly. What method can you employ to address this?
A. Dropout Methods
B. Threading
C. Dimensionality Reduction
D. Serialization
Answer: A
Explanation:
Explanation
Reference
https://medium.com/mlreview/a-simple-deep-learning-model-for-stock-price-prediction-using-tensorflow-30505
Topic 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.

NEW QUESTION: 4
A start-up company with a limited budget is planning to adopt a hybrid cloud solution for their operations.
The company has business-critical applications that serve customers and have strict service levels. In addition, the company has less critical applications such as backup and archive.
Which hybrid cloud strategy should be recommended to the company?
A. Deploy the business-critical applications on an externally-hosted private cloud. Deploy the less critical applications on a public cloud.
B. Deploy the business-critical applications on an externally-hosted private cloud. Deploy the less critical applications on an on-premise private cloud.
C. Deploy the business-critical applications on an on-premise private cloud. Deploythe less critical applications on a public cloud.
D. Deploy the business-critical applications on an on-premise private cloud. Deploy the less critical applications on an externally-hosted private cloud.
Answer: A
Explanation:
Explanation/Reference:
Explanation:


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