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NEW QUESTION: 1
Note: This question is part of a series of questions that use the same scenario. For your convenience, the scenario is repeated in each question. Each question presents a different goal and answer choices, but the text of the scenario is exactly the same in each question in this series.
You are planning a big data infrastructure by using an Apache Spark cluster in Azure HDInsight. The cluster has 24 processor cores and 512 GB of memory.
The architecture of the infrastructure is shown in the exhibit. (Click the Exhibit button.)

The architecture will be used by the following users:
Support analysts who run applications that will use REST to submit Spark jobs.
Business analysts who use JDBC and ODBC client applications from a real-time view. The business analysts run monitoring queries to access aggregate results for 15 minutes. The results will be referenced by subsequent queries.
Data analysts who publish notebooks drawn from batch layer, serving layer, and speed layer queries. All of the notebooks must support native interpreters for data sources that are batch processed. The serving layer queries are written in Apache Hive and must support multiple sessions. Unique GUIDs are used across the data sources, which allow the data analysts to use Spark SQL.
The data sources in the batch layer share a common storage container. The following data sources are used:
Hive for sales data
Apache HBase for operations data
HBase for logistics data by using a single region server
You plan to create a new HBase table to collect the operations dat
a. The workload will be distributed across regional servers. Apache Phoenix will be used on top of HBase for the operations data.
You need to ensure that write operations are distributed across the regional servers.
Which setting should you configure when you create the table?
A. MAX_FILESIZE
B. UPDATE_CACHE_FREQUENCY
C. SALT_BUCKETS
D. BLOCKCACHE
Answer: C
Explanation:
References: https://phoenix.apache.org/tuning_guide.html

NEW QUESTION: 2
An engineer is describing QoS to a client. Which two facts apply to traffic policing? (Choose two.)
A. Policing typically delays the traffic, rather than drops it
B. Policing should be performed as close to the source as possible
C. Policing should be performed as close to the destination as possible
D. Policing drops traffic that exceeds the defined rate
E. Policing adapts to network congestion by queuing excess traffic
Answer: B,D
Explanation:
Traffic policing propagates bursts. When the traffic rate reaches the configured
maximum rate (or committed information rate), excess traffic is dropped (or
remarked). The result is an output rate that appears as a saw-tooth with crests and
troughs.
Unlike traffic shaping, traffic policing does not cause delay.
Classification (which includes traffic policing, traffic shaping and queuing
techniques) should take place at the network edge. It is recommended that
classification occur as close to the source of the traffic as possible.
Also according to this Cisco link, "policing traffic as close to the source as possible".

NEW QUESTION: 3
A change in credit policy has caused an increase in sales, an increase in discounts taken, a decrease in the amount of bad debts, and a decrease in the investment in accounts
receivable. Based upon this information, the entity's:
A. Working capital has increased.
B. Average collection period has decreased.
C. Accounts receivable turnover has decreased.
D. Percentage discount offered has decreased.
Answer: B
Explanation:
An increase in discounts taken accompanied by declines in receivables balances and doubtful accounts all indicate that collections on the increased sales have been accelerated. Accordingly, the average collection period must have declined. The average collection period is a ratio calculated by dividing the number of days in a year 365) by the receivable turnover Thus, the higher the turnover, the shorter the average collection period The turnover increases when either sales the numerator) increase, or receivables the denominator) decrease Accomplishing both higher sales and a lower receivables increases the turnover and results in a shorter collection on period.