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NEW QUESTION: 1
Welche der folgenden Empfehlungen ist die kostengünstigste, um die Anzahl der bei Softwareentwicklungsprojekten aufgetretenen Fehler zu verringern?
A. Erhöhen Sie die für Systemtests zugewiesene Zeit
B. Implementierung formeller Software-Inspektionen
C. Erhöhung des Entwicklungspersonals
D. Erfordert die Freigabe aller Projektergebnisse
Answer: B
Explanation:
Erläuterung:
Die Überprüfung von Code und Design ist eine bewährte Technik für die Softwarequalität. Ein Vorteil dieses Ansatzes besteht darin, dass Fehler identifiziert werden, bevor sie sich über den Entwicklungslebenszyklus ausbreiten. Dies reduziert die Korrekturkosten, da weniger Nacharbeit erforderlich ist. Wenn Sie mehr Zeit zum Testen einplanen, werden möglicherweise mehr Mängel festgestellt. Es ist jedoch wenig bekannt, warum Qualitätsprobleme auftreten und die Kosten für zusätzliche Tests und die Kosten für die Behebung der festgestellten Mängel höher sind als wenn sie früher im Entwicklungsprozess entdeckt worden wären. Die Fähigkeit des Entwicklungspersonals kann sich auf die Qualität der hergestellten Produkte auswirken. Das Ersetzen von Mitarbeitern kann jedoch teuer und störend sein, und die Anwesenheit eines kompetenten Personals kann die Qualität nicht garantieren, wenn keine wirksamen Qualitätsmanagementprozesse vorhanden sind. Die Abzeichnung von Liefergegenständen kann dazu beitragen, Fehler zu erkennen, wenn die Unterzeichner die zu liefernden Inhalte sorgfältig prüfen. Dies ist jedoch schwer durchzusetzen. Zu liefernde Überprüfungen sind normalerweise nicht so detailliert wie Softwareprüfungen.
NEW QUESTION: 2
Your company's customer and order databases are often under heavy load. This makes performing analytics against them difficult without harming operations. The databases are in a MySQL cluster, with nightly backups taken using mysqldump. You want to perform analytics with minimal impact on operations. What should you do?
A. Use an ETL tool to load the data from MySQL into Google BigQuery.
B. Connect an on-premises Apache Hadoop cluster to MySQL and perform ETL.
C. Mount the backups to Google Cloud SQL, and then process the data using Google Cloud Dataproc.
D. Add a node to the MySQL cluster and build an OLAP cube there.
Answer: B
Explanation:
Topic 2, 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: 3
Which of the following statements pertaining to a market skimming pricing strategy is not true?
A. The strategy is favored when there is insufficient market capacity and competitors cannot increase market capacity.
B. The strategy is favored when high price is perceived as high quality.
C. The strategy is favored when unit costs fall with the increase in units produced.
D. The strategy is favored when buyers are relatively insensitive to price increases.
Answer: C
NEW QUESTION: 4
Which one of the following ODS statement options terminates output being written to an
HTML file?
A. CLOSE
B. QUIT
C. END
D. STOP
Answer: A