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NEW QUESTION: 1
You are asked to improve resiliency for individual redundancy groups in an SRX4600 chassis cluster. Which two features would accomplish this task? (Choose two.)
A. control link recovery
B. IP address monitoring
C. dual fabric links
D. interface monitoring
Answer: B,D

NEW QUESTION: 2
고객에 초점을 맞추고, 혁신을 촉진하고, 새로운 철학을 배우고, 두려움을 유발하고, 광범위한 교육을 제공하는 것은 조직의 주요 변화의 요소입니다. 이러한 요소는 주로 다음을 목표로 합니다.
A. 저비용 공급자가 되기 위해 제품 및 서비스 비용을 보다 잘 관리합니다.
B. 주요 조직을 복사하여 경쟁을 강화합니다.
C. 제품과 서비스의 총 품질에 중점을 둡니다.
D. 이익에 간접적으로 영향을 주기 위해 동시에 효율적이고 효과적이다.
Answer: C
Explanation:
TQM is a comprehensive approach to quality. It treats the pursuit of quality as a basic organizational function that is as important as production or marketing. TQM is the continuous pursuit of quality in every aspect of organizational activities through (1) a philosophy of doing it right the first time; (2) employee training and empowerment; (3) promotion of teamwork; (4) improvement of processes; and (5) attention to satisfaction of customers, both internal and external. TQM emphasizes the supplier's relationship with the customer, identifies customer needs, and recognizes that everyone in a process is at some time a customer or supplier of someone else, either inside or outside of the organization.

NEW QUESTION: 3
For this question, refer to the TerramEarth case study.
TerramEarth's 20 million vehicles are scattered around the world. Based on the vehicle's location its telemetry data is stored in a Google Cloud Storage (GCS) regional bucket (US.
Europe, or Asia). The CTO has asked you to run a report on the raw telemetry data to determine why vehicles are breaking down after 100 K miles. You want to run this job on all the data. What is the most cost-effective way to run this job?
A. Move all the data into 1 region, then launch a Google Cloud Dataproc cluster to run the job.
B. Move all the data into 1 zone, then launch a Cloud Dataproc cluster to run the job.
C. Launch a cluster in each region to preprocess and compress the raw data, then move the data into a multi region bucket and use a Dataproc cluster to finish the job.
D. Launch a cluster in each region to preprocess and compress the raw data, then move the data into a regional bucket and use a Cloud Dataproc cluster .....
Answer: D