IBM Cloud Pak for Data Architect (C1000-173) Certification Sample Questions

Cloud Pak for Data Architect Dumps, C1000-173 Dumps, C1000-173 PDF, Cloud Pak for Data Architect VCE, IBM C1000-173 VCE, IBM Cloud Pak for Data Architect PDFThe purpose of this Sample Question Set is to provide you with information about the IBM Cloud Pak for Data V4.7 Architect exam. These sample questions will make you very familiar with both the type and the difficulty level of the questions on the C1000-173 certification test. To get familiar with real exam environment, we suggest you try our Sample IBM Cloud Pak for Data Architect Certification Practice Exam. This sample practice exam gives you the feeling of reality and is a clue to the questions asked in the actual IBM Certified Architect - Cloud Pak for Data V4.7 certification exam.

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IBM C1000-173 Sample Questions:

01. Why does an implementation design name the services to be installed rather than describing capabilities in general terms?
a) General descriptions leave the customer free to expect capabilities the platform does not offer, which is the most common cause of a disputed acceptance at the end of an implementation.
b) The platform requires services to be named before a cluster can be provisioned.
c) Capability descriptions cannot be mapped to license entitlements, and procurement needs a named list before it can proceed.
d) Each service brings its own resource profile and lifecycle, because installing one is an ongoing commitment.
 
02. A program proposes classifying every column in the estate before writing any protection rules, on the grounds that rules without classification are guesswork.
What is the risk?
a) Classification cannot be applied to columns whose contents vary.
b) Classification is a one-time exercise carried out at the start, so the whole program would have to be repeated each time the estate grows.
c) Classification of a large estate takes long enough that sensitive data stays unprotected meanwhile.
d) Rules cannot reference classifications, so the work would not connect.
 
03. Why does a deployed model need a defined owner as well as a monitoring configuration?
a) Monitoring produces signals that require a decision, and a signal nobody owns is not acted on.
b) An owner is needed to hold the entitlements the monitoring requires.
c) Monitoring configurations expire and must be renewed by their owner.
d) Ownership is required before a model can be deployed to production.
 
04. A DataStage job that runs nightly fails partway through, and the team finds the target holds some of the night’s changes but not all.
What should the design have specified?
a) Monitoring that alerts the team when the job fails.
b) What the job does on failure, so a partial run leaves a known state.
c) A schedule carrying enough margin that the whole job can be rerun from the start before the business needs the data.
d) Storage fast enough that the job completes inside its window.
 
05. Two architects disagree. One proposes Data Replication into the platform; the other proposes IBM Data Virtualization, querying it where it sits. Both designs would satisfy the stated reporting requirement.
What should settle it?
a) What each does to the source system’s load, and whether a second copy is acceptable to govern.
b) Which requires fewer platform services to be installed.
c) Which of the two the source system’s owner is more familiar with, since that team has to keep it running afterwards.
d) Which produces results faster for the reporting team, and which they find easier to work with.
 
06. An architect is asked what changes for consumers when a source is reached through a governed connection rather than directly.
What is the answer?
a) The source’s data is copied into the platform when the connection is created, so consumers query the copy rather than the system itself.
b) Consumers no longer need permission on the source system at all.
c) Access is granted and audited at the platform rather than negotiated per consumer at the source.
d) Queries run faster, because the platform caches what the source returns.
 
07. What does a model deployment need beyond the trained model itself?
a) A retraining schedule, and an owner to act on what each run reports.
b) A separate project.
c) A copy of the training data.
d) A way for consumers to reach it, and a definition of the inputs it expects in the form it expects them.
 
08. A model deployed for one business unit is now wanted by a second, whose customer population differs materially.
What should the architect require before it is reused?
a) That monitoring be configured separately for each unit.
b) That the second unit accepts the first unit’s ownership of the model.
c) Evidence that it performs acceptably on the second population.
d) That the model be retrained on the combined population.
 
09. Why does a shared automation identity across several pipelines weaken a platform’s security position?
a) An action can no longer be attributed to one pipeline.
b) A shared identity cannot have its credentials rotated.
c) The platform rejects concurrent sessions from one identity, so pipelines running at the same time would fail unpredictably and the arrangement would not work operationally.
d) Shared identities cannot be granted scoped permissions.
 
10. A design must let one team publish a dataset for others to use, without those others being able to reach the underlying source system.
What supports that?
a) Copying the dataset into each consuming project.
b) Granting consumers read-only credentials on the source system.
c) Publishing the governed object while the source connection stays with the publishing team.
d) Applying a masking policy to the source so consumers can connect safely.

Answers:

Question: 01
Answer: d
Question: 02
Answer: c
Question: 03
Answer: a
Question: 04
Answer: b
Question: 05
Answer: a
Question: 06
Answer: c
Question: 07
Answer: d
Question: 08
Answer: c
Question: 09
Answer: a
Question: 10
Answer: c

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