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NEW QUESTION: 1
Considerable debate exists in the self-perception literature over the impact of positively biased self- perceptions on social and psychological functioning. Positively based self-perceptions are those in which an individual has a more positive opinion of himself than objective indicators warrant. One view suggests that positive perceptual biases are characteristic of normal human thought across a variety of domains and correlate positively with good mental and psychological health. Certain researchers and clinicians have even proposed that by boosting self-concepts, symptoms of depression and levels of aggression may be reduced.
Investigators on the other side of the debate maintain that when most positive self-perceptions are compared to an objective criterion, they appear neither positively biased nor adaptive. In fact, Baumeister, Smart, and Boden suggest that positively biased self-concepts may have a 'dark side'. They proposed that it is persons with very positive self-views who are prone to be aggressive. As a result, building up individuals' self-perceptions may serve only to increase levels of aggression rather than curb them.
According to Baumeister et al., not all individuals with positive self-perceptions are going to be interpersonally aggressive. Rather, individuals who are extremely positive in their perceptions of themselves and their functioning are proposed to be the most likely to become angry and potentially violent. The mechanism that triggers aggressive behavior by these individuals has been suggested to be negative social feedback that challenges their positive self-views. Such threats to positive self-esteem give rise to anger and hostility.
If negative social information is encountered that challenges established positive self-perceptions, Baumeister et al. propose that individuals must choose to either accept the feedback and lower their self- perceptions or reject the feedback to maintain their positive self-views. The chosen reaction then influences their subsequent affective states and behavioral expressions. By accepting the external appraisals and adjusting self-perceptions downward, dysphoric feelings and social withdrawal may result.
Conversely, the rejection of the validity of the unfavorable feedback results in feelings of anger and resentment toward the source of the threat. Dodge and colleagues demonstrated that children who interpret social cues as threatening direct their anger and aggression at the peers who gave the negative evaluations. Anger stemming from the receipt of social criticism is a way to deny the legitimacy of the negative information. By directing hostile reactions toward the source of the negative feedback, the influx of disconfirming information may end. Unless individuals react against the self-esteem threat, they may be compelled to revise their self-concepts negatively, in line with the information provided. By discounting the negative social feedback, individuals can protect themselves from dysphoric feelings and maintain their positively biased self-perceptions, but they may be setting themselves up to become interpersonally aggressive.
Although positively biased self-perceptions may place individuals at risk for negative social feedback and subsequent increases in aggressive behavior, not all positive self-concepts are suggested to be harmful.
The relationship between positive self-perceptions and aggression may depend on the degree of perceptual distortion (i.e., moderate vs. extreme distortion). Baumeister (1989) and Baumeister et al.
(1996) proposed that an optimal range of moderate bias might exist within which mental health is encouraged. Maladjustment in psychological and social functioning is suggested to occur when the degree of bias of self-perceptions shifts from moderate to extreme levels. Extremely negative and positive perceptual bias would be related to different but equally harmful difficulties.
The passage discusses the likelihood of violence stemming from which of the following types of individuals?
A. An individual with a highly negative self-perception who receives negative feedback from his peers
B. An individual with a dark side who receives negative feedback from his peers
C. An individual with a highly negative self-perception who receives positive feedback from his peers
D. An individual with a moderately positive self-perception who receives negative feedback from his peers
E. An individual with a highly positive self-perception who receives negative feedback from his peers
Answer: E
Explanation:
Explanation/Reference:
Explanation:
According to the passage, when negative social information is encountered by a person with a highly elevated level of self-perception, it may lead to violence.
NEW QUESTION: 2
DRAG DROP
Answer:
Explanation:
Explanation:
NEW QUESTION: 3
Note: This question is part of a series of questions that use the same or similar answer choices. An answer choice may be correct for more than one question in the series. Each question is independent of the other questions in this series. Information and details provided in a question apply only to that question.
You are implementing a batch processing solution by using Azure HDInsight.
You plan to import 300 TB of data.
You plan to use one job that has many concurrent tasks to import the data in memory.
You need to maximize the amount of concurrent tasks for the job.
What should you do?
A. Increase the number of spark.executor.cores in an Apache Spark job that stores the data in a text format.
B. Use a shuffle join in an Apache Hive query that stores the data in a JSON format.
C. Use an action in an Apache Oozie workflow that stores the data in a text format.
D. Increase the number of spark.executor.instances in an Apache Spark job that stores the data in a text format.
E. Decrease the level of parallelism in an Apache Spark job that stores the data in a text format.
F. Use an Azure Data Factory linked service that stores the data in an Azure DocumentDB database.
G. Use a broadcast join in an Apache Hive query that stores the data in an ORC format.
H. Use an Azure Data Factory linked service that stores the data in Azure Data Lake.
Answer: A
Explanation:
References: https://blog.cloudera.com/blog/2015/03/how-to-tune-your-apache-spark-jobs- part-2/