SAS Data Integration Developer (A00-260) Certification Exam Sample Questions

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SAS A00-260 Sample Questions:

01. Vantage Mobile's DBA has already created a physical table called DailyUsageSummary in the destination database. A developer now needs to build a job that loads data into it.
Which registration approach is appropriate for this target?
a) Register the table as a job object rather than a target object, since it was created outside DI Studio.
b) Treat the existing table as a new target and let DI Studio generate its DDL, overwriting the physical structure the DBA created.
c) Register, or import, metadata for the existing table as the target, ensuring the registered column definitions match the table's actual physical structure.
d) Skip registering target metadata for the existing table, since DI Studio only requires target registration for tables it creates itself, relying instead on the job’s Lookup step to infer the existing table’s column list at run time.
 
02. Coastal Credit Union is promoting a job from a test environment to production. The target table MemberTxnFact already exists in both environments with an identical structure.
Which registration approach is appropriate when pointing the job at the production MemberTxnFact table?
a) Re-register MemberTxnFact as a brand-new target so DI Studio regenerates the production table's DDL to match the test environment.
b) Register, or repoint, the target metadata to reference the existing production MemberTxnFact table, since it already exists with the matching structure.
c) Leave the target metadata pointed at the test environment's table, since job metadata is not affected by which environment the target physically resides in.
d) Delete the job's existing target metadata entirely and rebuild the whole job from scratch for production.
 
03. While configuring a transformation at Riverbend Utilities, a developer notices that a source column storing meter-reading values as text does not match the numeric data type of the corresponding target column.
What does this situation require from the developer?
a) The developer must explicitly address the mismatch, such as through an appropriate conversion or handling step within the mapping, rather than assuming the values will align.
b) The developer should delete the target column entirely and recreate it later once the source system's data type changes to match.
c) Nothing — the load step converts the text value to a number using the target column's default value whenever the two types don't match, the same implicit conversion a Surrogate Key Generator applies to its key column.
d) The developer should leave the mapping as-is and address any resulting errors only after the job has failed in production.
 
04. Harborview Insurance's job ClaimsLoad chains an Extract step against a claims source, a Lookup against a policy table, and a Table Loader writing into a target table called ClaimsFact.
What does this job's metadata capture, distinct from what ClaimsFact's own target metadata captures?
a) The exact number of claim rows produced the last time the job ran.
b) The column data types and lengths of the ClaimsFact table exclusively.
c) Which transformations are chained together, such as Extract, Lookup, and Table Loader, how they are connected, and the options configured on each step.
d) Only the final target table's name, with no record of the intermediate Lookup step, since Table Loader steps are assumed to overwrite any upstream Extract or Lookup configuration once deployed.
 
05. A developer at Golden Gate Logistics is registering metadata for a source table that already exists with dozens of columns in the source database.
Compared with manually typing in every column's name and data type by hand, what is the advantage of registering the table's metadata by capturing its existing structure directly?
a) It removes the possibility of any errors appearing later during job testing.
b) It removes the need to register the source table at all, since the source system already has its own structure, relying instead on a Surrogate Key Generator to infer the column list at runtime.
c) It creates a matching target table with the identical structure in a different database as soon as the source metadata is captured.
d) It reduces the chance of transcription mistakes and saves effort compared with manually re-entering dozens of column definitions by hand.
 
06. The Table Loader transformation supports several distinct load techniques — truncate-and-reload, append, and update/upsert — rather than one fixed loading behavior.
Which best explains why?
a) The load technique is selected automatically based on table size, with no configuration by the developer
b) Different target tables and business requirements call for different data-integrity and performance trade-offs, so a configurable load technique lets one transformation serve varied loading needs
c) Each load technique produces identical results but differs only in the log messages it writes
d) Multiple techniques exist only for backward compatibility with retired versions and have no current functional difference, the same backward-compatibility explanation sometimes wrongly given for why both Append and Table Loader steps still exist side by side
 
07. GreenGrid Energy is registering the target for a new job that loads a table called MeterReadings.
Which of the following statements correctly describe target table metadata, as distinct from job metadata?
(Choose two.)
a) Target table metadata defines the destination table's column names, data types, and other structural attributes.
b) Registering target metadata can be done for a new table that does not yet exist, or for an existing table already present in the destination.
c) Target table metadata defines the chained sequence of transformations that move data into the table.
d) Target table metadata is generated the first time a job successfully executes, based on whatever columns happen to be produced, with no explicit registration step.
e) Target table metadata and job metadata are combined into a single registered object in every case, since DI Studio has no way to distinguish them.
 
08. Metro Broadcasting's team repeatedly builds the same custom currency-normalization logic, a multi-step calculation not covered by any standard transformation, inside eight different jobs, recreating it from scratch each time.
What should the team do to avoid rebuilding this logic in every job?
a) Combine all eight jobs into a single job so the currency-normalization logic only needs to be built once.
b) Move the logic into the source system's metadata registration instead, since generated transformations are limited to load-strategy configuration.
c) Build the currency-normalization logic once as a generated, custom transformation, then reuse that transformation across all eight jobs.
d) Continue rebuilding the logic manually in each job, since generated transformations cannot contain custom calculation logic.
 
09. An insurance company's claims-master table receives claim updates — status changes and amount adjustments — throughout the week from multiple regional offices. The same claim ID can appear in more than one incoming file, and the target must hold only the latest values per claim ID.
Which load technique best fits this requirement?
a) Truncate and reload using only the most recently received regional file
b) Update/upsert, matching on claim ID, so a repeated submission updates the existing row rather than duplicating it
c) Load only claims not already present in the target, ignoring status-change rows for existing claims, leaving every regional office’s later status update permanently unreflected in the claims-master table
d) Append every incoming row, then rely on downstream reporting to filter to the latest row per claim
 
10. Summit Hotels has a registered target table called ReservationSummary that is loaded by two separate jobs: a nightly load job and a monthly reload job.
Which statement about reusing this target metadata across the two jobs is correct?
a) Target metadata cannot be shared across jobs; a separate copy of ReservationSummary's metadata must be registered for each job that loads it, much like a generated transformation must be rebuilt separately inside every job that uses it.
b) Target metadata becomes job-specific once a job first uses it, so the second job would need to redefine it under a new name.
c) The two jobs must be merged into a single job, since DI Studio does not allow two separate jobs to write to the same registered target.
d) A single registered ReservationSummary target metadata object can be referenced by both jobs, since target metadata is a distinct, reusable object independent of any one job's transformation chain.

Answers:

Question: 1 Answer: c Question: 2 Answer: b
Question: 3 Answer: a Question: 4 Answer: c
Question: 5 Answer: d Question: 6 Answer: b
Question: 7 Answer: a, b Question: 8 Answer: c
Question: 9 Answer: b Question: 10 Answer: d

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