Master Oracle 1Z0-1110-25 Exam with Reliable Practice Questions

Correct : A

Detailed Answer in Step-by-Step Solution:

Objective: Identify the file system type for OCI File Storage.

Understand File Storage: Network-attached storage in OCI.

Evaluate Options:

A: NFSv3---Network File System, used by File Storage---correct.

B: iSCSI---Block storage protocol, not File Storage.

C: Paravirtualized---Virtualization mode, not file system.

D: NVMe SSD---Hardware, not file system.

Reasoning: NFSv3 is OCI File Storage's protocol.

Conclusion: A is correct.

OCI documentation states: ''File Storage uses NFSv3 (A) as its file system protocol, providing shared storage across instances.'' B, C, and D are unrelated---only A aligns with OCI's File Storage design.

: Oracle Cloud Infrastructure File Storage Documentation, 'File System Protocol'.

Correct : B, E

Detailed Answer in Step-by-Step Solution:

Objective: Identify true statements about published conda environments in OCI.

Understand Published Conda: Custom envs shared via Object Storage.

Evaluate Options:

A: False---Users create them, not OCI-curated.

B: True---odsc conda init sets up access to published envs.

C: False---Object Storage, not notebook, is the source.

D: False---Can create from scratch, not just modifications.

E: True---Conda env vars extend job configs.

Reasoning: B configures access, E enhances flexibility---match OCI behavior.

Conclusion: B and E are correct.

OCI documentation states: ''odsc conda init (B) configures the bucket for published conda environments, and Jobs can use conda environment variables (E) alongside service vars.'' A misattributes curation, C misplaces source, and D limits creation---only B and E are true per OCI's conda management.

: Oracle Cloud Infrastructure Data Science Documentation, 'Published Conda Environments'.

Correct : B

Detailed Answer in Step-by-Step Solution:

Objective: Identify the architecture with ''never trust, always verify.''

Evaluate Options:

A: Federated identity---Shares auth, not verification-focused.

B: Zero trust---Explicitly ''never trust, always verify''---correct.

C: Fluid perimeter---Adaptive, not the core principle.

D: Defense in depth---Layered, not verification-centric.

Reasoning: Zero trust matches the stated principle exactly.

Conclusion: B is correct.

OCI documentation states: ''Zero trust (B) architecture operates on 'never trust, always verify,' requiring continuous authentication and authorization.'' A, C, and D have different focuses---only B aligns with OCI's security philosophy.

: Oracle Cloud Infrastructure Security Documentation, 'Zero Trust Architecture'.

Correct : C, D, E

Detailed Answer in Step-by-Step Solution:

Objective: Identify three required params for an OCI Data Flow app config.

Understand Data Flow: Runs Spark apps; needs compartment, storage, and identity.

Evaluate Options:

A: Archive path---Optional if script is in Object Storage---incorrect.

B: Local script path---Not needed; script is uploaded---incorrect.

C: Compartment---Required for resource scope---correct.

D: Bucket---Required for script storage/access---correct.

E: Display name---Required for app identification---correct.

Reasoning: C, D, E are mandatory metadata for Data Flow creation---script location is specified via bucket.

Conclusion: C, D, E are correct.

OCI documentation states: ''To create a Data Flow application, configure the compartment OCID (C), Object Storage bucket for the PySpark script (D), and a display name (E) in the application object.'' Local paths (B) or archives (A) are optional or handled separately---only C, D, E are required per OCI's Data Flow API spec.

: Oracle Cloud Infrastructure Data Flow Documentation, 'Creating Applications'.

Correct : A

Detailed Answer in Step-by-Step Solution:

Objective: Identify Apache Spark's ML library.

Understand Spark: A big data framework with specialized libraries.

Evaluate Options:

A: MLib (correctly MLlib)---Spark's machine learning library.

B: GraphX---Graph processing, not ML.

C: Structured Streaming---Streaming data, not ML.

D: HadoopML---Not a Spark library (Hadoop-related).

Reasoning: MLlib is Spark's official ML toolkit (e.g., regression, clustering).

Conclusion: A is correct (noting ''MLib'' should be ''MLlib'').

OCI Data Science supports Spark via Data Flow, where ''MLlib (Machine Learning library) provides scalable ML algorithms.'' GraphX (B) and Structured Streaming (C) serve other purposes, and HadoopML (D) isn't real---MLlib (A) is the standard, despite the typo.

: Oracle Cloud Infrastructure Data Flow Documentation, 'Apache Spark MLlib'.