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NEW QUESTION: 1
Which of the following test design techniques could be used to do this?
a.Statement testing.
b.Path testing.
c.State transition testing.
d.Exploratory testing.
A. a and d.
B. c and d.
C. b and c.
D. a and c.
Answer: B
Explanation:
Topic 5, Case Study# 5Scenario
A rail services provider is upgrading its signalling systems, to allow train drivers and
signallers to communicate securely and timely.
This is seen as a safety critical system. The IT processes in place include many quality
check points, including the use of the V-model for software development.
The provider has recently lost many of its software development and test staff to other
organizations. The management staff has been retained, including the project and
development manager for this upgrade. A recruitment drive is underway.
You have been brought in as a new test manager, and you have been asked to review the
processes surrounding development and testing.
The project manager has been asked about a formal process of building test procedures
using specification-based techniques.

NEW QUESTION: 2
DRAG DROP
You administer three Microsoft SQL Server 2012 servers named ServerA, ServerB, and ServerC.
ServerA is the acting principal and ServerB is the mirror.
You need to add ServerC as a witness to the existing mirroring session between ServerA and ServerB.
You need to achieve this goal without delaying synchronization.
Which three actions should you perform in sequence? (To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.)
Build List and Reorder:

Answer:
Explanation:

NEW QUESTION: 3
Case Study: 2 - TerramEarth Case Study
Company Overview
TerramEarth manufactures heavy equipment for the mining and agricultural industries: About
80% of their business is from mining and 20% from agriculture. They currently have over 500 dealers and service centers in 100 countries. Their mission is to build products that make their customers more productive.
Company Background
TerramEarth formed in 1946, when several small, family owned companies combined to retool after World War II. The company cares about their employees and customers and considers them to be extended members of their family.
TerramEarth is proud of their ability to innovate on their core products and find new markets as their customers' needs change. For the past 20 years trends in the industry have been largely toward increasing productivity by using larger vehicles with a human operator.
Solution Concept
There are 20 million TerramEarth vehicles in operation that collect 120 fields of data per second.
Data is stored locally on the vehicle and can be accessed for analysis when a vehicle is serviced.
The data is downloaded via a maintenance port. This same port can be used to adjust operational parameters, allowing the vehicles to be upgraded in the field with new computing modules.
Approximately 200,000 vehicles are connected to a cellular network, allowing TerramEarth to collect data directly. At a rate of 120 fields of data per second, with 22 hours of operation per day.
TerramEarth collects a total of about 9 TB/day from these connected vehicles.
Existing Technical Environment

TerramEarth's existing architecture is composed of Linux-based systems that reside in a data center. These systems gzip CSV files from the field and upload via FTP, transform and aggregate them, and place the data in their data warehouse. Because this process takes time, aggregated reports are based on data that is 3 weeks old.
With this data, TerramEarth has been able to preemptively stock replacement parts and reduce unplanned downtime of their vehicles by 60%. However, because the data is stale, some customers are without their vehicles for up to 4 weeks while they wait for replacement parts.
Business Requirements
- Decrease unplanned vehicle downtime to less than 1 week, without
increasing the cost of carrying surplus inventory
- Support the dealer network with more data on how their customers use
their equipment IP better position new products and services.
- Have the ability to partner with different companies-especially with
seed and fertilizer suppliers in the fast-growing agricultural
business-to create compelling joint offerings for their customers
CEO Statement
We have been successful in capitalizing on the trend toward larger vehicles to increase the productivity of our customers. Technological change is occurring rapidly and TerramEarth has taken advantage of connected devices technology to provide our customers with better services, such as our intelligent farming equipment. With this technology, we have been able to increase farmers' yields by 25%, by using past trends to adjust how our vehicles operate. These advances have led to the rapid growth of our agricultural product line, which we expect will generate 50% of our revenues by 2020.
CTO Statement
Our competitive advantage has always been in the manufacturing process with our ability to build better vehicles for tower cost than our competitors. However, new products with different approaches are constantly being developed, and I'm concerned that we lack the skills to undergo the next wave of transformations in our industry. Unfortunately, our CEO doesn't take technology obsolescence seriously and he considers the many new companies in our industry to be niche players. My goals are to build our skills while addressing immediate market needs through incremental innovations.
For this question, refer to the TerramEarth case study You analyzed TerramEarth's business requirement to reduce downtime, and found that they can achieve a majority of time saving by reducing customers' wait time for parts You decided to focus on reduction of the 3 weeks aggregate reporting time Which modifications to the company's processes should you recommend?
A. Migrate from FTP to SFTP transport, develop machine learning analysis of metrics, and increase dealer local inventory by a fixed factor.
B. Migrate from CSV to binary format, migrate from FTP to SFTP transport, and develop machine learning analysis of metrics.
C. Migrate from FTP to streaming transport, migrate from CSV to binary format, and develop machine learning analysis of metrics.
D. Increase fleet cellular connectivity to 80%, migrate from FTP to streaming transport, and develop machine learning analysis of metrics.
Answer: C
Explanation:
The Avro binary format is the preferred format for loading compressed data. Avro data is faster to load because the data can be read in parallel, even when the data blocks are compressed.
Cloud Storage supports streaming transfers with the gsutil tool or boto library, based on HTTP chunked transfer encoding. Streaming data lets you stream data to and from your Cloud Storage account as soon as it becomes available without requiring that the data be first saved to a separate file. Streaming transfers are useful if you have a process that generates data and you do not want to buffer it locally before uploading it, or if you want to send the result from a computational pipeline directly into Cloud Storage.
References: https://cloud.google.com/storage/docs/streaming
https://cloud.google.com/bigquery/docs/loading-data

NEW QUESTION: 4
Following an internal investigation into her professional business activities, a financial analyst with Smith, Kleen & Beetchnutty admits that in her NPV and IRR calculations, she has failed to index all cash flows for the effects of anticipated inflation. However, the analyst claims that the discount rate she has used in her calculations does take into effect anticipated inflation.
Which of the following correctly describes the effects this will have on the NPV and IRR calculations?
A. NPV will be biased downward, IRR will be biased upward
B. Both NPV and IRR will be biased upward
C. Both NPV and IRR will remain unaffected
D. NPV will be biased downward, IRR will be unaffected
E. Both NPV and IRR will be biased downward
F. NPV will be biased upward, IRR will be biased downward
Answer: E
Explanation:
Explanation/Reference:
Explanation:
By failing to index the cash flows of projects in her NPV analysis, while at the same time including an adjustment for inflation into the discount rate, this analyst has biased the NPV calculation downward. This is because the cash inflows are being understated by the inflation-adjusted discounting. This phenomenon will skew the NPV figure downward. Remember that while the Internal Rate of Return calculation does not specify an explicit discount rate, rather calculates the discount rate that equates the cash inflows of a project with its cash outflows, the fact remains that the cash flows in the calculation have not been indexed for the effects of positive inflation. What has happened here is that cash flows have been understated, and this will bias the IRR calculation downward.