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Oracle Exam 1Z0-1111-25 Topic 7 Question 4 Discussion

Actual exam question for Oracle's 1Z0-1111-25 exam
Question #: 4
Topic #: 7
[All 1Z0-1111-25 Questions]

Which Machine Learning-based visualization is helpful in analyzing extremely large volumes of log records by grouping them based on their shape?

Show Suggested Answer Hide Answer
Suggested Answer: A

In Logging Analytics, ML-driven visualizations aid log analysis:

Cluster (A): Uses machine learning to group logs by structural similarity (''shape''), reducing noise and highlighting patterns or anomalies in large datasets.

Why not B or C?

Summary Table (B): Aggregates data tabularly, not ML-based or shape-focused.

Word Cloud (C): Displays word frequency, not structural grouping.

Cluster is ideal for large-scale log pattern recognition.


Contribute your Thoughts:

Kimberlie
2 months ago
I see your point, Nobuko, but I still think A) Cluster is more suitable for analyzing large volumes of log records.
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Nobuko
2 months ago
I believe the answer is C) Word Cloud, as it can visually represent the frequency of words in log records.
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Ulysses
2 months ago
I agree with Deane, clustering can help in grouping log records based on their shape.
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Emelda
2 months ago
Word Cloud? What is this, a poetry reading? Cluster is the only option that makes sense for this problem. Although, a little bit of word art could liven things up, just sayin'.
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Maurine
11 days ago
I think we can all benefit from using Cluster to group log records based on their shape.
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Michel
12 days ago
Summary Table might be useful too, but I think Cluster is the most effective choice here.
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Royal
13 days ago
Word Cloud could add a creative touch, but Cluster is more practical for this situation.
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Nakisha
14 days ago
I agree, Cluster is definitely the best option for analyzing large volumes of log records.
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Justine
28 days ago
I think we can all benefit from using Cluster to group log records based on their shape.
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Sueann
1 months ago
Summary Table might be useful too, but I think Cluster is the most effective choice here.
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Brett
2 months ago
Word Cloud could add a creative touch, but Cluster is more practical for this situation.
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Ollie
2 months ago
I agree, Cluster is definitely the best option for analyzing large volumes of log records.
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Deane
3 months ago
I think the answer is A) Cluster.
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Tish
3 months ago
Cluster is the clear winner here. It's like magic - you throw all those log records into the machine, and it spits out neat little groups for you to analyze. What could be simpler?
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Alana
2 months ago
B) Summary Table
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Kristine
2 months ago
I agree, Cluster is definitely the best option for analyzing large volumes of log records.
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Rex
2 months ago
A) Cluster
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Glendora
3 months ago
Cluster all the way! It's like having a secret decoder ring for your log records. Why make things complicated when you can just group them by shape and call it a day?
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Gretchen
3 months ago
Summary Table? Really? That's like trying to read a phone book to understand a novel. Cluster is the way to go here, no question.
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Tambra
3 months ago
I'm torn between Cluster and Word Cloud. Word Cloud could be fun, but Cluster sounds more practical for this task. Hmm, decisions, decisions.
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Detra
3 months ago
Cluster, definitely! It's the perfect way to make sense of all those log records. Grouping them by shape is like sorting a pile of socks - it just makes everything more organized.
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Lindsey
2 months ago
Definitely, it's like sorting a pile of socks - everything becomes more organized.
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Dion
2 months ago
I agree, it really helps in making sense of the data by grouping them based on their shape.
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Dorthy
2 months ago
Cluster is great for organizing large volumes of log records.
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Maira
3 months ago
Summary Table is also helpful for analyzing log records, but Cluster is definitely the best for grouping by shape.
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Elenor
3 months ago
I agree, clustering really helps make sense of the data. It's like putting puzzle pieces together.
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Tayna
3 months ago
Cluster is great for organizing large volumes of log records. It's like sorting socks!
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