C2090-136 Latest Exam (Jan 2018)

[Free] 2018(Jan) EnsurePass Passguide IBM C2090-136 Dumps with VCE and PDF 31-40

January 31, 2018

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Foundations of IBM Big Data amp; Analytics Architecture V1

Question No: 31

Which item is a key benefit of IBM InfoSphere Biglnsights (Biglnsights} over other Hadoop distributions?

  1. Biglnsights provides POSIX-compliantfile connectors to files inHDFS.

  2. Biglnsights provides a more robust and extensive columnar storage engine.

  3. Biglnsights provides more comprehensive security capabilities using Kerberos.

  4. Biglnsights provides built-in spreadsheet, SQL, and Text Analytics for processing data within Hadoop.

Answer: C

Explanation: BigInsights also supports Kerberos service-to-service authentication protocol, increasing security strength to prevent middle man attacks.


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Question No: 32

What are the stages to the IBM Big Data amp; Analytics Maturity Model?

  1. Novice, Builder. Leader, Master

  2. Initial, Repeatable, Defined, Managed, Optimizing

  3. Ad Hoc, Foundational, Competitive, Differentiating. Breakaway

  4. Descriptive Analytics, Diagnostic Analytics, Predictive Analytics, Prescriptive Analytics

Answer: C


https://www.ibm.com/developerworks/community/blogs/bigdataanalytics/entry/big_data_an alytics_maturity_model?lang=en (See the table).

Question No: 33

Information governance is most helpful in assessing and managing which dimension of big data?

  1. variety

  2. volume

  3. velocity

  4. veracity

Answer: C

Question No: 34

Data can come from a large number and variety of source systems. Based upon the IBM Big Data amp; Analytics Reference Architecture which two statement are true when considering analytics on these data sources?

  1. Data federation has the best performance and allows in place analytics directly at the source systems.

  2. Activity data hubs manage consolidated information about past activity based on the decisions related to entities in a master data hub.

  3. Data marts contain a subset of data from various input sources across the enterprise that can be easily updated in real time to provide faster analytics.

  4. MapReduce processing does not require a schema when loading the data but does require an understanding of the data format prior to processing the data

  5. Customer and account data is consolidated under a master data hub. Whereas product, supplier and asset data are consolidated outside of a master data hub for better analytical efficiency.

Answer: B,C

Question No: 35

A construction supply company has a lot of machine data ranging from sensors to GPS readings. They want to integrate and analyze this data to help them optimize their resource allocation and gain real time maintenance decision support while ensuring customer satisfaction. Which use case examples should the Solution Advisor review to guide them on their Big Data amp; Analytics adoption planning?

  1. Big Data Exploration

  2. Operational Analysis

  3. Data Warehouse Modernization

  4. Enhanced 360 View of the Customer

Answer: D

Question No: 36

Which document from the IBM Big Data amp;Analytics Reference Architecture details the customer engagement model and sample discovery workshop template for building a customer#39;s roadmap to adopt Big Data amp; Analytics?

  1. Use Cases

  2. Business Direction

  3. Architecture Overview

  4. Architecture Decisions

Answer: B

Question No: 37

Which in-memory database design point helps use main memory more efficiently?

  1. Single Instruction Multiple Data processing.

  2. Automatic and always-on data compression.

  3. Processing data using multiple processor cores.

  4. Organizing data according to columns rather than rows.

Answer: D

Question No: 38

Which two statements are true for row oriented databases?

  1. They are well suited for OLTP workloads which are more heavily loaded with interactivetransactions.

  2. They are not well suited for OLTP workloads which are more heavily loaded with interactivetransactions.

  3. They are self-indexing which makes use of less disk space compared to a columnar orienteddatabase system.

  4. They are ideal when many columns of a single row are required at the same time and when row-size is relatively small, as the entire row can be retrieved with a single disk read.

  5. It has advantages for data warehouses, customer relationship management systems, and other

adhoc inquiry systems where aggregates are computed over large numbers of similar data items.

Answer: A,C

Question No: 39

Using Brewer#39;s CAP theorem as a guide for choosing between alternative data storage technologies, which two distributed system properties does Apache HBase (part of Hadoop) guarantee?

  1. Consistency – all nodes see the same data at the same time.

  2. Concurrency control – correct results for concurrent operations.

  3. Atomicity – if one part of a transaction fails, the entire transaction fails.

  4. Partition tolerance – the system continues to operate despite arbitrary message loss.

  5. Availability – every request receives a response about whether it was successful or failed

Answer: A,C

Question No: 40

What is a use case example for the Transform Financial Processes business imperative?

  1. Portfolio optimization in the banking industry.

  2. Customer data monetization in the media and entertainment industry

  3. Distribution load forecasting and scheduling in the energy and utility industry

  4. Utilizing telematics to price risk and monitor exposure in the insurance industry.

Answer: D

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