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NEW QUESTION: 1
You are administering a database, where an application frequently executes identical SQL statements with the same syntax.
How will you optimize the query results without retrieving data blocks from the storage?
A. By using the CACHE hint to pin the queries in the library cache
B. By using the bind variables and setting the CURSOR_SHARING parameter to EXACT.
C. By creating a SQL plan baseline for the identical statements.
D. By ensuring that RESULT_CACHE_MODE parameter is set to MANUAL and using the RESULT_CACHE hint in the queries.
E. By setting the CURSOR_SHARING parameter to FORCE.
Answer: D
Explanation:
As its name suggests, the query result cache is used to store the results of
SQL queries for re-use in subsequent executions. By caching the results of queries, Oracle
can avoid having to repeat the potentially time-consuming and intensive operations that
generated the resultset in the first place (for example, sorting/aggregation, physical I/O,
joins etc). The cache results themselves are available across the instance (i.e. for use by
sessions other than the one that first executed the query) and are maintained by Oracle in
a dedicated area of memory. Unlike our homegrown solutions using associative arrays or
global temporary tables, the query result cache is completely transparent to our
applications. It is also maintained for consistency automatically, unlike our own caching
programs.
Note:
RESULT_CACHE_MODE specifies when a ResultCache operator is spliced into a query's
execution plan.
Values:
MANUAL
The ResultCache operator is added only when the query is annotated (that is, hints).
FORCE
The ResultCache operator is added to the root of all SELECT statements (provided that it
is valid to do so).
For the FORCE setting, if the statement contains a NO_RESULT_CACHE hint, then the
hint takes precedence over the parameter setting.
Incorrect:
A, B:CURSOR_SHARING determines what kind of SQL statements can share the same
cursors.
Values:
FORCE
Forces statements that may differ in some literals, but are otherwise identical, to share a cursor, unless the literals affect the meaning of the statement.
SIMILAR
Causes statements that may differ in some literals, but are otherwise identical, to share a cursor, unless the literals affect either the meaning of the statement or the degree to which the plan is optimized.
EXACT
Only allows statements with identical text to share the same cursor.
C:The Oracle library cache is a component of the System Global Area (SGA) shared pool. Similarly to other Oracle cache structures, the point of the library cache is to reduce work - and therefore to improve performance - by caching the result of parsing and optimizing SQL or PL/SQL so that subsequent executions of the same SQL or PL/SQL require fewer preparatory steps to deliver a query result.
NEW QUESTION: 2
Case Study: 3 - JencoMart Case Study
Company Overview
JencoMart is a global retailer with over 10,000 stores in 16 countries. The stores carry a range of goods, such as groceries, tires, and jewelry. One of the company's core values is excellent customer service. In addition, they recently introduced an environmental policy to reduce their carbon output by 50% over the next 5 years.
Company Background
JencoMart started as a general store in 1931, and has grown into one of the world's leading brands known for great value and customer service. Over time, the company transitioned from only physical stores to a stores and online hybrid model, with 25% of sales online. Currently, JencoMart has little presence in Asia, but considers that market key for future growth.
Solution Concept
JencoMart wants to migrate several critical applications to the cloud but has not completed a technical review to determine their suitability for the cloud and the engineering required for migration. They currently host all of these applications on infrastructure that is at its end of life and is no longer supported.
Existing Technical Environment
JencoMart hosts all of its applications in 4 data centers: 3 in North American and 1 in Europe, most applications are dual-homed.
JencoMart understands the dependencies and resource usage metrics of their on-premises architecture.
Application Customer loyalty portal
LAMP (Linux, Apache, MySQL and PHP) application served from the two JencoMart-owned U.S.
data centers.
Database
* Oracle Database stores user profiles
* PostgreSQL database stores user credentials
-homed in US West
Authenticates all users
Compute
* 30 machines in US West Coast, each machine has:
* 20 machines in US East Coast, each machine has:
-core CPU
Storage
* Access to shared 100 TB SAN in each location
* Tape backup every week
Business Requirements
* Optimize for capacity during peak periods and value during off-peak periods
* Guarantee service availably and support
* Reduce on-premises footprint and associated financial and environmental impact.
* Move to outsourcing model to avoid large upfront costs associated with infrastructure purchase
* Expand services into Asia.
Technical Requirements
* Assess key application for cloud suitability.
* Modify application for the cloud.
* Move applications to a new infrastructure.
* Leverage managed services wherever feasible
* Sunset 20% of capacity in existing data centers
* Decrease latency in Asia
CEO Statement
JencoMart will continue to develop personal relationships with our customers as more people access the web. The future of our retail business is in the global market and the connection between online and in-store experiences. As a large global company, we also have a responsibility to the environment through 'green' initiatives and polices.
CTO Statement
The challenges of operating data centers prevents focus on key technologies critical to our long- term success. Migrating our data services to a public cloud infrastructure will allow us to focus on big data and machine learning to improve our service customers.
CFO Statement
Since its founding JencoMart has invested heavily in our data services infrastructure. However, because of changing market trends, we need to outsource our infrastructure to ensure our long- term success. This model will allow us to respond to increasing customer demand during peak and reduce costs.
For this question, refer to the JencoMart case study.
JencoMart wants to move their User Profiles database to Google Cloud Platform. Which Google Database should they use?
A. Google Cloud SQL
B. Cloud Spanner
C. Google BigQuery
D. Google Cloud Datastore
Answer: D
Explanation:
Common workloads for Google Cloud Datastore:
User profiles
* Product catalogs
* Game state
* References: https://cloud.google.com/storage-options/
https://cloud.google.com/datastore/docs/concepts/overview
NEW QUESTION: 3
Refer to Exhibit:
Which design in the exhibit shows valid choices for HP switches?
A. A
B. D
C. C
D. B
Answer: D
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